
AI Platform
Medical Image + Deep Learning Algorithm= Faster Cancer Diagnosis with Better Efficacy
Our mission – supporting cancer diagnosis by AI (machine and deep learning)
The number of deaths from cancers worldwide is staggering—8.8 million deaths in 2015 according to the World Health Organization! In the US alone 20% of all deaths are due to cancer each year. Our team at Cancer Center is driven and motivated to help fight these various forms of cancers around the world using advanced and innovative software tools for fast and effective early diagnosis and mitigation. We hope to contribute to the fight for eradicating and preventing cancers by collaborating with medical professionals and researchers worldwide.
Using Deep Learning (DL) and Machine Learning (ML) platforms, we have developed specialized algorithmic solutions to analyze medical images for oncology and radiology for faster and better than human accuracy. Our solutions, which are both in API and Web Platforms, are designed to offer faster and better access for second and third diagnostic opinions by medical professionals to help develop a therapeutic approach quickly. This will help the patients and physicians by reducing anxiety caused by not knowing what they are dealing with.
Our solutions do all the work—segment images, find regions of interests, generate statistical descriptions of images, count cells, mitosis, and even recognize the type of cell.
Your focus—saving lives, our focus—image processing and fast detection!
Technologies
- Machine Learning / Deep Learning
- Automated Medical Image Analysis
- MRI (Magnetic Resonance Imaging)
- PET / CT
- Pathology Images (Whole Slide Imaging)
- General planimetry
Digital Pathology
MRI, DICOM Analysis
PET Analysis
In oncology, Positron Emission Tomography (PET) imaging is widely used in diagnostics of cancer metastases, in monitoring of progress in course of the cancer treatment, and in planning radiotherapeutic interventions. Accurate and reproducible delineation of the tumor in the PET scans remains a difficult task, despite being crucial for delivering appropriate radiation dose, minimizing adverse side-effects of the therapy, and reliable evaluation of treatment. Our aim is to provide clinicians with intelligent software supporting accurate, efficient and reproducible delineation of the tumor.
Image Database

Latest News & Blog
Cancer Center in MIT
We are going to join to the MIT Health Track. The MIT Enterprise Forum (MITEF) Startup Competition is a technology accelerator organized by local chapters of MITEF. If you have an exciting new product or service, participating in MITEF Poland’s Startup Competition...
Cancer Center in Startupbootcamp Health Acceleration in Berlin
We take a part in acceleration in Startupbootcamp Health in Berlin. Startupbootcamp Digital Health Berlin is the leading program supporting innovative companies combining medical knowledge with smart technologies, with a special focus on behavior change, diagnostics...
New medical partner -Specialist Hospital in Walbrzych
We signed the partner's agreement with Specialist Hospital "Alfred Sokolowski" in Walbrzych http://www.zdrowie.walbrzych.pl/
ABSL Startup Challenge – seminfinals
We are on the list: http://startupchallenge.pl/semifinalists
We are going to Wolves Summit in Warsaw
We are going to Wolves Summit in Warsaw in 28-29 March to meet with investors.
What is cancer?
Each cell in the human body must follow certain control processes, rules, and regulations as it goes from birth, growth, then to death. Whenever these mechanisms fail to control the cell’s growth, which is due to most cases some genetic damage to the genes—this marks...