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# Cancer Center - Your Digital Center and LIS for Cancer Diagnosis

## Sitemaps
[XML Sitemap](https://cancercenter.ai/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [LIS Implementation at the 4th Military Clinical Hospital in Wrocław](https://cancercenter.ai/lis-implementation-at-the-4th-military-clinical-hospital-in-wroclaw/): Our LIS for pathology has been implemented at the 4th Military Clinical Hospital in Wrocław, Poland.
- [Cancer Center at ECDP 2026 in Graz with KFBIO](https://cancercenter.ai/cancer-center-at-ecdp-2026-in-graz-with-kfbio/): Our team has just returned from ECDP 2026 in Graz, Austria, where we had the pleasure of participating alongside our partner, KFBIO. The event brought together pathologists, researchers, and industry experts from across Europe to discuss the latest developments in digital pathology and diagnostic innovation.
- [ECDP 2026 in Graz – here we come!](https://cancercenter.ai/ecdp-2026-in-graz-here-we-come/): We’ve just returned from an inspiring conference in Warsaw, and there’s hardly time to catch our breath before we’re packing again - this time for ECDP 2026 in Graz, Austria.
- [Gynecologic pathology conference in Warsaw 2026](https://cancercenter.ai/gynecologic-pathology-event-warsaw-2026/): We recently attended the “Advances in Gynecologic Pathology: Harmonizing Morphologic and Molecular Findings” event, held on May 29–30, 2026 in Warsaw, Poland.
- [Our PathoViewer IMS platform at the FOLR1 workshop supported by Roche](https://cancercenter.ai/our-pathoviewer-ims-platform-at-the-folr1-workshop-supported-by-roche/): After the theoretical part and the presentation of digital pathology solutions, participants moved to a hands‑o
- [TelePathology and the Future of Digital Oncology: CancerCenterAI at the International Society for Telemedicine & eHealth Webinar](https://cancercenter.ai/telepathology-and-the-future-of-digital-oncology-cancercenterai-at-the-international-society-for-telemedicine-ehealth-webinar/): During his presentation, Piotr Krajewski highlighted how the CancerCenterAI Platform is driving the next generation of TelePathology — enabling remote diagnostics, AI‑assisted image analysis, and seamless collaboration between oncologists and pathologists across institutions. By integrating artificial intelligence with secure digital workflows, CancerCenterAI enhances diagnostic precision, reduces turnaround time, and extends access to expert pathology services globally.
- [From a Personal Story to a Global Mission](https://cancercenter.ai/from-a-personal-story-to-a-global-mission/): "I experienced firsthand how stressful and lengthy the diagnostic process can be. This personal story became the foundation of CancerCenter.AI's mission."
- [We officially launch the BreastAI project](https://cancercenter.ai/we-officially-launch-the-breastai-project/): Every day spent waiting for a cancer diagnosis feels like an eternity. It's a time of stress and uncertainty for patients and their families. Why, in an age of such advanced technology, does this process still take so long?
- [CancerCenter.AI Powers Poland’s Newest Fully Digital Pathology Lab at Grupa Mazovia](https://cancercenter.ai/cancercenter-ai-powers-polands-newest-fully-digital-pathology-lab-at-grupa-mazovia/): What an incredible week! Last week, we had the honor of participating in a groundbreaking event organized by Grupa Mazovia.
- [Microsoft & CancerCenter.ai](https://cancercenter.ai/microsoft-cancercenter-ai/): As Microsoft celebrates its incredible 50-year journey today, it's a perfect moment to reflect on how technology can truly make a difference in healthcare and save lives.
- [Medical Japan Osaka](https://cancercenter.ai/medical-japan-osaka/): We were honored to participate in the trade mission co-organized by the Lower Silesian Marshal's Office. Together with other companies from our region, we showcased Poland's diverse healthcare innovations - from digital solutions to neurocosmetics.
- [CancerCenter.AI’s Successful Visit to Tbilisi: Advancing Cancer Diagnosis in Georgia](https://cancercenter.ai/cancercenter-ais-successful-visit-to-tbilisi-advancing-cancer-diagnosis-in-georgia/): We are thrilled to share the outcomes of our recent visit to Tbilisi, Georgia, from October 8-11, 2024, as part of the Polish Challenge Fund project implemented by UNDP. Our team, led by CEO Piotr Krajewski and CTO Jarosław Kwiecien, had a productive and inspiring time working with Georgian healthcare professionals to enhance cancer diagnosis capabilities in the country.
- [36th European Congress of Pathology](https://cancercenter.ai/36th-european-congress-of-pathology/): Hey everyone! Our CEO Piotr Krajewski is currently exploring the 36th European Congress of Pathology in beautiful Florence.
- [Hematopathology Summer Meeting](https://cancercenter.ai/hematopathology-summer-meeting/): Wow, what an amazing experience we've just had!
- [CancerCenter.ai at Going Global 4.0](https://cancercenter.ai/cancercenterai-at-going-global/): CancerCenter.ai at Going Global 4.0!
- [CancerCenter.ai & Georgia](https://cancercenter.ai/cancercenter-ai-georgia/): We are excited to announce our participation in an innovative project aimed at enhancing cancer diagnosis in Georgia through digitalization and AI!
- [MedTech or TechMed?](https://cancercenter.ai/medtech-or-techmed/): MedTech or TechMed?
- [8ᵗʰ Annual Course of the Academy of Immunohistochemistry](https://cancercenter.ai/8%e1%b5%97%ca%b0-annual-course-of-the-academy-of-immunohistochemistry/): Last week at the Academy of Immunohistochemistry in Cracow, CancerCenterAI was proud to participate as a technical sponsor. Our platform was used to present and discuss histopathological cases.
- [CancerCenter.ai & LEAP](https://cancercenter.ai/cancercenter-ai-leap/): Thrilled to announce that CancerCenter.ai was part of the prestigious LEAP Conference in Saudi Arabia!
- [Thrilled to Share Our Journey at Step Conference!](https://cancercenter.ai/thrilled-to-share-our-journey-at-step-conference/): We’re beyond excited to announce our recent participation in the Step Conference! It was an incredible opportunity for us to dive deep into the world of tech and innovation, surrounded by some of the brightest minds in the industry.
- [Season’s Greetings from all of us at CancerCenterAI](https://cancercenter.ai/seasons-greetings-from-all-of-us-at-cancercenterai/): May your time of Christmas be filled with the brightest of blessings, the warmth of peace, and the light of joy. Wishing you a prosperous and successful New Year!
- [CancerCenter.AI Ranked 13th in Forbes: What This Means for Polish Healthcare and the AI Market](https://cancercenter.ai/cancercenter-ai-ranked-13th-in-forbes-what-this-means-for-polish-healthcare-and-the-ai-market/): We proudly announce that CancerCenter.AI has secured the 13th spot in Forbes’ prestigious ranking of the best Polish companies developing artificial intelligence solutions. This recognition is not only a milestone for us, but also for the entire medtech sector in Poland.
- [Our CTO and Full Stack Developer are Ready to Conquer the “Potyczki Algorytmiczne”!](https://cancercenter.ai/our-cto-and-full-stack-developer-are-ready-to-conquer-the-potyczki-algorytmiczne/): Exciting News! Our very own CTO, Jarosław Kwiecień, and talented Full Stack Developer, Adam Zyzik, will be participating in the Potyczki Algorytmiczne (Algorithmic Showdown) next week!
- [Announcing CancerCenter.ai 2.0!](https://cancercenter.ai/new-version/): Over two years ago, we started building PathoPlatform - a simple website for sharing and displaying histopathology scans. Since then, we have talked to hundreds of our users, and we realised that there are so many things we could integrate with our platform to improve and simplify cancer diagnostics and medical second opinion - handling radiology scans, macroscopic images, reports, medical organization workflow, combining IHC with H&E etc. To cover all of these we started building a new platform almost from scratch. Extensible to handle more and more file types and workflows. Flexible to configure the interface optimally for every particular use case. It's no longer called PathoPlatform, as not only pathologists can make use of it. Say hello to CancerCenter.AI Platform!
- [World Kidney Cancer Day: Empowering Individuals Through Knowledge and Prevention](https://cancercenter.ai/world-kidney-cancer-day-empowering-individuals-through-knowledge-and-prevention/): Annually, World Kidney Cancer Day brings together individuals from around the globe to raise awareness about kidney health. In this article, we strive to arm you with vital knowledge about kidney cancer - understanding its symptoms, ways of self-monitoring, and possible preventative measures. Our collective efforts towards understanding and tackling kidney cancer can help save lives.
- [Exciting day at the racetrack with our Saudi Arabian friend Naif Alwehaiby and a part of our team!](https://cancercenter.ai/exciting-day-at-the-racetrack-with-our-saudi-arabian-friend-naif-alwehaiby-and-a-part-of-our-team/): Two days ago, we had the pleasure of hosting Naif, who flew all the way from Saudi Arabia to discuss potential collaboration with our company. It was an incredible opportunity to strengthen our international connections and explore new avenues for growth and innovation.
- [World No Tobacco Day](https://cancercenter.ai/world-no-tobacco-day/): Today marks World No Tobacco Day, an initiative established by the World Health Organization to draw global attention to the widespread prevalence of tobacco use and its deadly consequences.
- [World Thyroid Day: Spotlight on Thyroid Cancer](https://cancercenter.ai/world-thyroid-day-spotlight-on-thyroid-cancer/): World Thyroid Day is an annual event that unites people worldwide to raise awareness about thyroid-related disorders, including thyroid cancer. In this article, our objective is to equip you with crucial information and perspectives on thyroid cancer. By identifying symptoms, utilizing self-check methods, and exploring preventative measures, we can collectively strive to tackle thyroid cancer and safeguard lives.
- [Listen to Our CEO on ‘Cyfrowy Horyzont’ Discussing the Future of Medical Innovation](https://cancercenter.ai/listen-to-our-ceo-on-cyfrowy-horyzont-discussing-the-future-of-medical-innovation/): Exciting News! Our exceptional CEO Piotr Krajewski recently graced the 'Cyfrowy Horyzont' (Digital Horizon) podcast where he passionately discussed groundbreaking innovations in medicine. He shared our company's vision and delved deep into how we are revolutionizing the healthcare industry. This conversation is a great chance to gain insightful knowledge about the future of medicine. Please note, the podcast is in Polish. So if you're keen to polish your Polish or you're already fluent, we highly recommend you tune in! Check out the episode here: Spotify https://spoti.fi/3OdKIHC Apple Podcast https://apple.co/3If2ial Google Podcasts https://lnkd.in/d-iWN3g6
- [Jarosław Kwiecień, our CTO, will be participating in the discussion panel on algorithms and artificial intelligence.](https://cancercenter.ai/jaroslaw-kwiecien-our-cto-will-be-participating-in-the-discussion-panel-on-algorithms-and-artificial-intelligence/): We are eagerly anticipating tomorrow's panel discussion on the significance of algorithms for the advancement of artificial intelligence! Join this enlightening event organized by PTI - Polskie Towarzystwo Informatyczne, where they bring together industry experts and thought leaders to explore the future of artificial intelligence.
- [Ovarian Cancer Day on May 8th: Raising Awareness](https://cancercenter.ai/ovarian-cancer-day-on-may-8th-raising-awareness/): The Importance of World Ovarian Cancer DayWorld Ovarian Cancer Day was established in 2013 to increase global awareness and improve the survival rate of those diagnosed with this disease. It is a day when healthcare professionals, cancer survivors, and advocates come together to share information, support each other, and spread the word about the significance of early detection and prevention.
- [Featured article on Allied Vision](https://cancercenter.ai/featured-article-on-allied-vision/): Hey everyone!
- [Happy Easter!](https://cancercenter.ai/happy-easter/): May the blessings of this holy season fill your life with joy and happiness, from all of us at CancerCenterAI.
- [We took third place in the audience voting at HuaweiStartupChallenge3](https://cancercenter.ai/we-took-third-place-in-the-audience-voting-at-huaweistartupchallenge3/): We are incredibly grateful for the opportunity to participate in the HuaweiStartupChallenge3 Gala, organized by Huawei Poland and Startup Academy.
- [We made it! #HuaweiStartupChallenge](https://cancercenter.ai/we-made-it-huawei/): We are thrilled to announce that CancerCenter.ai has made it to the finals of the Huawei Startup Challenge 3rd Edition!
- [Great news! #HuaweiStartupChallenge3](https://cancercenter.ai/great-news-huaweistartupchallenge3/): Great news!
- [Today is World Cancer Day](https://cancercenter.ai/today-is-world-cancer-day/): World Cancer Day takes place every year on 4th February. It is the uniting global initiative under which the world comes together to raise the profile of cancer in a positive and inspiring way. The day aims to save millions of preventable deaths each year by raising awareness and improving education about the disease. Furthermore it calls for action from governments and individuals across the world.
- [Cancer Center.AI among 18 finalists for the EuroMinnies 2023 awards](https://cancercenter.ai/cancer-center-ai-among-18-finalists-for-the-eurominnies-2023-awards/): The list of finalists for the EuroMinnies 2023 awards is now available. In the four "people awards," the eight candidates come from eight different European nations, providing confirmation that talent is spread right across the continent.
- [Merry Christmas and God blessing](https://cancercenter.ai/merry-christmas-and-god-blessing/)
- [DOLMED.Tech](https://cancercenter.ai/dolmed-tech/): DOLMED.Tech Forum Dolnośląskie took place on 1-2 December 2022 in Jakuszyce. It was a platform for discussion and exchange of knowledge and experience for specialists in medical technologies and public health from Dolny Śląsk. The conference aims to be: 
- [Best thesis in computer science](https://cancercenter.ai/best-thesis-in-computer-science/): Our CTO, Jarek Kwiecień was once again rewarded for his outstanding talent in computer science. He is the winner in the competition for the best master's thesis in computer science.
- [AI at MEDICA 2022](https://cancercenter.ai/ai-at-medica-2022/): AI at MEDICA 2022 Cancer Center.AI was at MEDICA 2022 in Dusseldorf. We had an outstanding opportunity to talk to a wide public about "Faster cancer detection with Artificial Intelligence and deep learning" during the Session “AI & BIG DATA - Thriving, surviving and discovery in the data age”.  We presented our approach to AI algorithms and main modules of Cancer Center.AI platform. Our speech was acompanied by following demonstrations: 15:05 - 15:20: Transforming breast imaging with AI: Hype vs reality of existing and future use cases Mario Lois, GE Healthcare, Global General Manager of AI for Women’s Health 15:20 - 15:35: Faster cancer detection with Artificial Intelligence and deep learning Piotr Krajewski, Cancer Center, CEO & Co-Founder 15:35 - 15:50: Stop talking – Make digital healthcare true! The new fundament of digital healthcare: Converged AI-powered and intend driven IT architectures for all healthcare requirements Jörg Karpinski, HUAWEI, Director Public Business Germany 15:50 - 16:05: Telediagnosis platform with AI support Alexandre Barral, Portal Telemedicina, International R&D/Growth Manager 16:05 - 16:20: Mindify | Low-code medical protocols automation André Ramos, Mindify, CEO 16:20 - 16:35: Integration of data from medical devices and its transformation into a research-based model Priit Siilaberg, Helmes AS, Head of eHealth Solutions 16:35 - 16:50: How to revolutionize the analysis of brain CT scans through A.I. Szymon Korzekwa, BrainScan, CEO About MEDICA 2022 MEDICA is the world’s largest event for the medical sector. For more than 40 years it has been firmly established on every expert’s calendar. There are many reasons why MEDICA is so unique. Firstly, the event is the largest medical trade fair in the world – it attracted several thousand exhibitors from more than 50 countries in the halls. Furthermore, each year, leading individuals from the fields of business, research, and politics grace this top-class event with their presence. CancerCenter.AI had also an opportunity to discover the latest products and innovations of healthcare.
- [The 22th Congress of the Polish Society of Pathologists](https://cancercenter.ai/polish-society-of-pathologists/): The 22nd Congress of the Polish Society of Pathologists took place in Poznań on the 13-15th of October 2022. This year's motto was: "Pathomorphology worth knowing. Time for a comprehensive morphological diagnosis." Experts met in the Poznań Congress Center - a historical place where the General National Exhibition was organized in 1929. 
- [Breast Cancer Awareness Month in Cancer Center](https://cancercenter.ai/breast-cancer-awareness-month-in-cancer-center/): For many years, October has been recognized worldwide as a Breast Cancer Awareness Month. Pink October is also celebrated in Cancer Center. This event is an annual international health campaign organized to increase awareness of the disease. As part of the campaign, October 15 is the European Breast Cancer Day, symbolized by a pink ribbon.
- [Cancer Center on the Florida International Medical Expo](https://cancercenter.ai/the-florida-international-medical-expo/): Florida International Medical Expo is the Americas' leading medical trade fair and exhibition. It gathers not only thousands of medical device and equipment manufacturers but also suppliers, dealers, distributors and other healthcare professionals. It is worth mentioning that they all come from across the United States, Central, South America and the Caribbean.
- [Thank you for SIR 2022!](https://cancercenter.ai/thank-you-for-sir-2022/): CancerCenter participated in the SIR 2022- the seminal event in interventional radiology - held June 11-16, 2022 at the Boston Convention and Exposition Center (BCEC). We were there because we want to improve our tool for radiologists - RadiologyPlatform.
- [Cancer Center selected for Bridgehead 2022](https://cancercenter.ai/cancer-center-selected-for-bridgehead-2022/): Cancer Center was selected for Bridgehead 2022 together with 28 other european startups. In other words - we will receive tailor-made support to expand our presence to new European and global markets. 150 startups took part in the competition. The expert panel evaluated applications based on:
- [Cancer Center on DMEA 2022](https://cancercenter.ai/cancer-center-on-dmea-2022/): We will promote Cancer Center company during the Berlin exhibition DMEA 2022 from 26 - 28 April 2022. Our presence on this event is supported by "Going Global - Lower Silesian Economic Diplomacy" project.
- [AI is not sci-fi](https://cancercenter.ai/ai-is-not-sci-fi/): According to the recently published review "AI is not sci-fi" - AI-based innovations play an increasingly important role not only in industry, but also in Polish medical facilities. A wide range of innovative solutions was presented in the review. It includes many advanced diagnostic support tools. You will be able to learn more about CancerCenter innovations and the review itself during the webinar planned for 28th of March.  (register today: https://aka.ms/webinarAI).
- [Data Sovereignty conference](https://cancercenter.ai/data-sovereignty-conference/): We are pleased to invite you to a Data Sovereignty conference in the eHealth sector. We will pitch about our solutions and exhibit our products. The conference takes place on Thursday, February 17, 2022, 10:00 AM - 3:15 PM. Save the date and watch an online conference here.

## Pages
- [Slide Laser Printers](https://cancercenter.ai/slide-laser-printers/): KFBIO provides advanced digital pathology solutions recognized for their reliability, high-quality imaging, and laboratory workflow efficiency. The portfolio includes whole-slide scanners, slide printers, and other devices supporting the digitalization of pathology processes. As the official KFBIO distributor, Cancer Center delivers professional consulting, implementation, training, and technical support to ensure successful deployment and long-term performance.
- [Cassette-Laser-Printer](https://cancercenter.ai/cassette-laser-printer/): KFBIO provides advanced digital pathology solutions recognized for their reliability, high-quality imaging, and laboratory workflow efficiency. The portfolio includes whole-slide scanners, slide printers, and other devices supporting the digitalization of pathology processes. As the official KFBIO distributor, Cancer Center delivers professional consulting, implementation, training, and technical support to ensure successful deployment and long-term performance.
- [Documentation](https://cancercenter.ai/documentation/)
- [Pathology Scanner KF PRX Series](https://cancercenter.ai/kf-prx-series/): KFBIO provides advanced digital pathology solutions recognized for their reliability, high-quality imaging, and laboratory workflow efficiency. The portfolio includes whole-slide scanners, slide printers, and other devices supporting the digitalization of pathology processes. As the official KFBIO distributor, Cancer Center delivers professional consulting, implementation, training, and technical support to ensure successful deployment and long-term performance.
- [KF-FL slide scanners series](https://cancercenter.ai/kf-fl-slide-scanners-series/): KFBIO provides advanced digital pathology solutions recognized for their reliability, high-quality imaging, and laboratory workflow efficiency. The portfolio includes whole-slide scanners, slide printers, and other devices supporting the digitalization of pathology processes. As the official KFBIO distributor, Cancer Center delivers professional consulting, implementation, training, and technical support to ensure successful deployment and long-term performance.
- [KF-PRO slide scanners series](https://cancercenter.ai/kf-pro-slide-scanners-series/): KFBIO provides advanced digital pathology solutions recognized for their reliability, high-quality imaging, and laboratory workflow efficiency. The portfolio includes whole-slide scanners, slide printers, and other devices supporting the digitalization of pathology processes. As the official KFBIO distributor, Cancer Center delivers professional consulting, implementation, training, and technical support to ensure successful deployment and long-term performance.
- [Download PathoCam](https://cancercenter.ai/download-pathocam/): Choose the installation option below
- [Manual CancerCenterAI](https://cancercenter.ai/manual-cancercenterai/): Web Platform: https://cancercenter.ai/documentation/platform/en
- [LIS Software for Pathology](https://cancercenter.ai/lis-laboratory-information-system-pathology-lims/): We believe in a partnership - we are not just a software developer but a long-term partner in the development of your laboratory information system. Every update and new functionality is consulted with users, which ensures that the system constantly evolves in line with the needs of modern pathological diagnostics.
- [PathoCam – Qt License Info](https://cancercenter.ai/pathocam-qt-license-info/): PathoCam has been linked dynamically with Qt 6.7.2 under LGPL v3 license.
- [Privacy Policy](https://cancercenter.ai/privacy-policy/): This document ("Privacy Policy") defines the rules for the processing and protection of personal data of Users in connection with their use of the CancerCenter.ai online platform ("Platform"). This document is an integral part of the Terms and Conditions.
- [Clients & Partners](https://cancercenter.ai/partners/): Our Clients:
- [Projects](https://cancercenter.ai/projects/): This project aime to increase the effectiveness of cancer diagnosis through using new technologies for oncology patients in Georgia. CancerCenter.ai supports oncology diagnosis to achieve better and faster decision-making processes by using AI (Deep Learning (DL) and Machine Learning (ML). We have developed specialized algorithmic solutions and platforms both for pathology (PathoViewer platform.cancercenter.ai) and radiology (RadiologyViewer - DICOM web viewer for radiology images like MRI, CT, USG and others) to analyze medical images faster and more accurately. Medical professionals can zoom/view, annotate, analyze and share the images by web/browser. CancerCenter.ai also provides Manual Whole Slide Imaging software (PathoCam) that enables saving pathology images by using only its own microscope equipment and camera. Cancer is a leading cause of death worldwide, accounting for nearly 10 million deaths in 2020 (Ferlay, Ervik,, et al. Global Cancer Observatory: IARR on Cancer; 2020). The main challenge in this area is the long diagnostic process because:
- [Thyroid Cancer](https://cancercenter.ai/thyroid-cancer/): Common symptoms of ovarian cancer include:
- [Ovarian Cancer](https://cancercenter.ai/ovarian-cancer/): Ovarian cancer often goes undetected until it has spread within the pelvis and abdomen, making it more challenging to treat. This cancer is frequently referred to as the "silent killer" due to its vague and often overlooked symptoms, which can include bloating, pelvic or abdominal pain, difficulty eating, and frequent urination. Globally, ovarian cancer is the eighth most common cancer among women. A woman’s lifetime risk of developing ovarian cancer is 1 in 78.
- [Career](https://cancercenter.ai/career/): If you would like to join our team or cooperate please write:  join@cancercenter.ai
- [Microscope slide scanner for pathology – PathoCam](https://cancercenter.ai/pathocam/): There is a high demand in your organization for digital slides.
- [test](https://cancercenter.ai/test/): Izera Pulmonology and Chemotherapy Center “IZER-MED” Mazovia Group Aaarau KantonSpital University Clinical Hospital in Rzeszow Medical University of Poznan and the Univeristy Clinical Hospital in Poznan National Institute of Oncology Krakow Jan Biziel University Hospital No. 2 in Bydgoszcz Provincial Specialist Hospital Stefan Cardinal Wyszynski Independent Public Health Care Center in Lublin Collegium Medicum in Bydgoszcz Nicolaus Copernicus University in Torun CM UMK Medical University of Lodz AI w Zdrowiu Saving Kids with Cancer Foundation, POLAND Fundacja “Na Ratunek Dzieciom z Chorobą Nowotworową” Institute of Mother and Child in Warsaw Pulmonology and Thoracic Surgery Center in Bystra CLab Ventures The LifeScience Krakow Cluster Instytut Gruźlicy i Chorób Płuc w Warszawie Specialist Hospital “Odrodzenie” in Zakopane Medical Center Bieniek Akademia Patologa Roche Workshops Google Microsoft OVHcloud Hiscon PORT The National Centre for Research and Development nVidia Polish Society of Molecular Pathology NewPathology.com Specialist Hospital “Alfred Sokolowski” in Walbrzych Eskulap Hospital Stermedia LLC Wrocław University of Technology Lower Silesia Oncology Center Fraunhofer SINAPSE University Hospital Carl Gustav Carus
- [Radiology AI Module](https://cancercenter.ai/radiology-platform/): Radiology Module screenshots show an MRI scan of prostate (T2-weighted images in axial plane) that was segmented by our deep learning algorithm. The transitional zone is outlined in green and the peripheral zone in red.
- [For Pathologists Digital Pathology and telepathology Platform IMS](https://cancercenter.ai/for-pathologists/): Module for pathologists provides complete digital ecosystem for cancer diagnosis, makes the whole diagnosis process easier and much faster. Furthermore, troubling cases can be shared, discussed, and analyzed among specialists from any location. In short, the module for pathologists provides all the necessary tools to help scientists in their work. We offer this web viewer with PathoCam - an alternative for scanners.
- [R&D projects](https://cancercenter.ai/co-financing-of-the-project/): The project "BreastAI – Development of Innovative AI Models Supporting Breast Cancer Diagnosis in Histopathology," implemented by Cancer Center Sp. z o.o., is co-financed by funds from the European Union under the European Funds for Lower Silesia 2021-2027 program, Priority 1: European Funds for an Enterprising Lower Silesia, Measure 1.2 Innovative Enterprises.
- [Skin Cancer Images](https://cancercenter.ai/database/skin-cancer-images/): To access this image database, you can click here
- [Prostate Cancer Images](https://cancercenter.ai/database/prostate-cancer-images/): Cancer Location: Prostate   1. Source: The Cancer Imaging Archive (TCIA) Public Access* SPIE-AAPM-NCI PROSTATEx Challenges This collection is a retrospective set of prostate MR studies. All studies included T2-weighted (T2W), proton density-weighted (PD-W), dynamic contrast enhanced (DCE), and diffusion-weighted (DW) imaging. The prostate MR imaging was performed at the Radboud University Medical Centre (Radboudumc) in the Prostate MR Reference Center under supervision of prof. Dr. Barentsz. The Radboudumc is located in Nijmegen, The Netherlands. The dataset was collected and curated for research in computer aided diagnosis of prostate MR under supervision of Dr. Huisman, Radboudumc. Collection Statistics Modalities: MR Number of Patients: 346 Number of Studies: 349 Number of Series: 18,321 Number of Images: 309,251 Images Size (GB): 15.1 To access this image database, you can click here 2. Source: The Cancer Imaging Archive (TCIA) Public Access* Prostate cancer T1- and T2-weighted magnetic resonance images (MRIs) Collection Statistics Modalities: MR (T1, T2, and DCE sequences) Number of Patients: 92 Number of Studies: 92 Number of Series: 368 Number of Images: 32,537 Image Size (GB): 5.6 To access this image database, you can click here   *The Cancer Imaging Archive is a freely accessible repository containing medical images and supporting data from cancer patients. Images are stored in DICOM file format. The images are organized as “Collections”, typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Search functionality allows users to query across Collections or within them to filter out only the data they are most interested in.
- [Lung Cancer Images](https://cancercenter.ai/database/lung-cancer-images/): Cancer Location: Lung   1. Source: The Cancer Imaging Archive (TCIA) Public Access* The National Lung Screening Trial (NLST) was a randomized controlled clinical trial of screening tests for lung cancer.The NLST collection includes Radiology images, Pathology Images, and Clinical data Collection Statistics Modalities: CT Number of Patients: 26,254 Number of Studies: 73,118 Number of Series: 203,099 Number of Images: 21,082,502 Images Size (TB): 11.3 TeraBytes To access this image database, you can click here * Cancer Imaging Archive is a freely accessible repository containing medical images and supporting data from cancer patients. Images are stored in DICOM file format. The images are organized as “Collections”, typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Search functionality allows users to query across Collections or within them to filter out only the data they are most interested in. 2. Source: The Cancer Imaging Archive (TCIA) Public Access* The Lung Image Database Consortium image collection (LIDC-IDRI) consists of diagnostic and lung cancer screening thoracic computed tomography (CT) scans with marked-up annotated lesions. It is a web-accessible international resource for development, training, and evaluation of computer-assisted diagnostic (CAD) methods for lung cancer detection and diagnosis. Initiated by the National Cancer Institute (NCI), further advanced by the Foundation for the National Institutes of Health (FNIH), and accompanied by the Food and Drug Administration (FDA) through active participation, this public-private partnership demonstrates the success of a consortium founded on a consensus-based process. Collection Statistics Modalities CT (computed tomography), DX (digital radiography), CR (computed radiography) Number of Patients: 1,010 Number of Studies: 1,308 Number of Series: 1,018 CT, 290 CR/DX Number of Images: 244,527 Image Size (GB): 124 To access this image database, you can click here
- [Breast Cancer Images](https://cancercenter.ai/database/breast-cancer-images/): Cancer Location: Breast     1. Source: The Cancer Imaging Archive (TCIA) Public Access* This CBIS-DDSM (Curated Breast Imaging Subset of DDSM) is an updated and standardized version of the Digital Database for Screening Mammography (DDSM). The DDSM is a database of 2,620 scanned film mammography studies. It contains normal, benign, and malignant cases with verified pathology information. The scale of the database along with ground truth validation makes the DDSM a useful tool in the development and testing of decision support systems. The CBIS-DDSM collection includes a subset of the DDSM data selected and curated by a trained mammographer. The images have been decompressed and converted to DICOM format. Updated ROI segmentation and bounding boxes, and pathologic diagnosis for training data are also included. Collection Statistics Modalities: MG Number of Patients: 6671 Number of Studies: 6775 Number of Series: 6775 Number of Images: 10239 Image Size (GB): 163.6 To access this image database, you can click here * Cancer Imaging Archive is a freely accessible repository containing medical images and supporting data from cancer patients. Images are stored in DICOM file format. The images are organized as “Collections”, typically patients related by a common disease (e.g. lung cancer), image modality (MRI, CT, etc) or research focus. Search functionality allows users to query across Collections or within them to filter out only the data they are most interested in.    2. Source: National Biomedical Imaging Archive (NBIA) NBIA provides access to imaging resources that will improve the use of imaging in today's biomedical research and practice. Collection Statistics Modalities: MG (Mammography), MR (Magnetic Resonance) Number of Series: 373 Number of Images: ≈40460 To access this image database, you can click here To access full image database of NBIA (for another anatomical location, please click here.    
- [Image Database](https://cancercenter.ai/database/): On this page you can find some useful links for official image databases, by cancer location, like for e.g.:
- [ICD-O-3 Topographical Codes](https://cancercenter.ai/icd-o-pathology-codes/topographical-codes-icd-o-3/):      C00.0    External upper lip     C00.1    External lower lip     C00.2    External lip, NOS     C00.3    Mucosa of upper lip     C00.4    Mucosa of lower lip     C00.5    Mucosa of lip, NOS     C00.6    Commissure of lip     C00.8    Overlapping lesion of lip     C00.9    Lip, NOS
- [Morphological Codes ICD-O 3](https://cancercenter.ai/icd-o-pathology-codes/morphological-codes-icd-o-3/): 8000/0 Neoplasm, benign
- [ICD-O Pathology Codes](https://cancercenter.ai/icd-o-pathology-codes/): The International Classification of Diseases for Oncology1 (ICD-O) was first published in 1976. Since then, it has been internationally recognized as the definitive classification of neoplasms. Cancer registries throughout the world use it to record the incidence of malignancy and survival rates. The data produced are used to inform cancer control, research activity, treatment planning, and health economics.
- [Terms and Conditions](https://cancercenter.ai/terms-and-conditions/): By creating an account or using our Platform, you agree to these Terms. These Terms constitute a binding legal agreement between you and CancerCenter.ai. If you disagree with any part of these Terms, you must not use our Platform. Please note that certain terms may apply differently depending on your user type and the specific services you subscribe to, as detailed below.
- [Jakub Czakon about Deep Learning (PL)](https://cancercenter.ai/videos/): https://www.youtube.com/watch?v=extbgfGyIrQ
- [Thank you](https://cancercenter.ai/thanks/): Thank you for you donation!
- [Donate](https://cancercenter.ai/donate/): Donate to help develop a machine learning-based cancer diagnostics platform.
- [Skin Cancer](https://cancercenter.ai/skin-cancer/): The skin protects against heat, sunlight, injury, and infection. Skin also helps control body temperature and stores water and fat. Skin cancer is the most common type of cancer. It usually forms in skin that has been exposed to sunlight, but can occur anywhere on the body. Skin has several layers. Skin cancer begins in the epidermis (outer layer), which is made up of squamous cells, basal cells, and melanocytes. Skin cancer starts in the cells of the skin. Some other types of cancer start in other parts of the body and can spread to the skin, but these are not skin cancers. There are several different types of skin cancer. There are 3 main types of skin cancers:
- [Lung Cancer](https://cancercenter.ai/lung-cancer/): Lung cancer is one of the most common cancers in the world. It is a leading cause of cancer death in men and women in the United States. Cigarette smoking causes most lung cancers. The more cigarettes you smoke per day and the earlier you started smoking, the greater your risk of lung cancer. High levels of pollution, radiation and asbestos exposure may also increase risk.
- [Breast Cancer](https://cancercenter.ai/breast-cancer/): Breast cancer affects one in eight women during their lives. Breast cancer kills more women in the United States than any cancer except lung cancer. No one knows why some women get breast cancer, but there are a number of risk factors. Risks that you cannot change include
- [Prostate Cancer](https://cancercenter.ai/prostate-cancer/): The prostate is a gland in the male reproductive system. It lies just below the bladder (the organ that collects and empties urine) and in front of the rectum (the lower part of the intestine). It is about the size of a walnut and surrounds part of the urethra (the tube that empties urine from the bladder). The prostate gland makes fluid that is part of the semen.
- [Faster Cancer Detection](https://cancercenter.ai/about-faster-cancer-detection/): Our multidisciplinary group of researchers and clinicians (including medical physics, biology, oncology, biomedical engineering, mathematics and computer science) are combining their skills to investigate the best solutions for faster cancer detection and grading.
- [Medical image processing and analysis platform](https://cancercenter.ai/our-services/): In cancer diagnosis and therapy, medical image processing and analysis needs the ​combined opinion of many experts. To clarify, pathologists, radiologists, geneticists and oncologists work together to find best solutions. Firslty, the amount of data is huge. Futhermore, the overall decision process takes a lot of time. However, there is a cure for this disorder. Secure and Compliant Cloud Platforms with algorithms based on collecting big data solve the problem. Both tools enable patients and doctors to share images. Most of all they provide an automated, accurate pre-diagnosis.
- [PET Analysis](https://cancercenter.ai/pet/): PET (Positron Emission Tomography) and CT (Computed Tomography) are both standard imaging tools that physicians use to pinpoint disease states in the body. A CT scan identifies a suspected tumor, while the PET scan confirms if the tumor is malignant and if it has spread. By combining these two technologies, physicians can more accurately diagnose and identify cancer, heart disease and brain disorders.
- [Digital Pathology with AI](https://cancercenter.ai/pathology-image-analysis/): Image segmentation and classification of tumor cases from histopathological samples are important parts of nowadays medicine. This modality is crucial in order to make each particular cancer diagnosis reliable. In the light of globalization it is becoming more and more important to provide tools for digital pathology data sharing and to facilitate community based activities. Our solutions help not only in making the process of segmentation and classification easier and much faster but also make it possible for specialists from all over the world to share, discuss and analyze troubling cases among each other. We offer PathoPlatform (web viewer) and PathoCam (alternative for scanners)
- [MRI Analysis](https://cancercenter.ai/mri-analysis/): We believe that in order to make a world of cancer treatment a better place we need to make use of the technology to the fullest. We think that using advanced machine learning techniques in medical image diagnosis on the regular basis is the next big leap that our society needs to make in order to progress and we are more than willing to facilitate this transformation.
- [Contact](https://cancercenter.ai/contact/): Piotr KrajewskiCEO, Co-founder
- [Blog](https://cancercenter.ai/blog/): by Natalia | Aug 17, 2026 | News
- [Team](https://cancercenter.ai/team/): Iza is a graduate of the Wrocław University of Technology at the Faculty of Information Technology and Management (spec. Financial Systems Management). Since 2008, he has been carrying out tasks related to obtaining EU funds for projects implemented in the medical areas, with support in their settlement, coordination of the team supporting the settlement of the consortium, etc. She has recently started a series of training courses on Scrum Master.
- [Cancer Center.AI LIS IMS AI Digital Pathology](https://cancercenter.ai/): IMS / Telepathology

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