AI and Deep Learning
in Cancer Diagnosis

Medical Image + Deep Learning Algorithm = Faster Cancer Diagnosis with Better Efficacy

AI digital Pathology

Pathoplatform – faster and better tissue examination

AI digital Radiology

Radiology Platform – greater productivity in DICOM analysis

Custom AI Algorithm

Deep Learning and Artificial Intelligence on your service

How can AI and Deep Learning help to detect cancer?

AI and Deep Learning used in Cancer Diagnosis make whole treatment much more efficient. That is to say, specialized algorithmic solutions analyze medical images for pathology and radiology. Firstly, it is faster and better than human accuracy. Secondly, solutions are accesible both in API and Web Platforms. Above all, applications are designed to offer faster and better access for second and third diagnostic opinions. In short, benefits are numerous for all involved groups.

  1. Store vast amounts of image
  2. View images from many access points simultaneously
  3. Improve doctor to doctor cooperation within the organization as well as outside
  4. Make use of computer aided intervention tools and share the results easily
  5. Increase output by detecting more cases in less time
  6. Improve patient outcomes thanks to personalized therapies
  7. Enhance service quality – faster and accurate diagnosis
  8. Save on cost and time by reducing patient length-of-stay and minimizing resources required to treat a patient
  9. Enhance staff satisfaction by reducing manual, repetitive tasks and preventing physician burn out
  1. View picture as a data
  2. Work more efficiently and diagnose more patients in less time by speeding up case review
  3. Describe every image with a plurality of relevant attributes like: size, location and morphology
  4. Use a formal, accessible, shared, and broadly applicable language for diagnose representation
  5. Extract qualitative and quantitative characteristics out of medical images using different modalities including CT, MR, PET, etc.
  6. Exchange knowledge
  7. Improve accuracy and compare diagnosis
  8. Get more free time for rest… or more complex cases
  1. Compare with algorithmic solutions
  2. See other cases
  3. Share experience with other patients
  4. Get your diagnosis and results faster
  5. Receive more effective treatment thanks to precise diagnosis and personalized therapies
  6. No more misdiagnosis and unnecessary surgeries or procedures

Latest News

Cancer Center – Driven by Intelligence

Cancer Center - Driven by Intelligence Cancer Center attended Made in Wrocław Driven by Intelligence conference on the 20th of October, 2021. The event can be described in few numbers. To point out 4 discussion panel, 23 panelists, over 300 participants and 20 000...

ICPC 2021 Winners

ICPC 2021 Winners ICPC 2021 winners belong to Cancer Center team. That is to say, the team of the University of Wrocław, consisting of two developers from Cancer Center: Jarosław Kwiecień and Adam Zyzik, won the SILVER medal at the ICPC World Finals. To clarify, there...

PET Analysis

PET Analysis process description PET (Positron Emission Tomography) and CT (Computed Tomography) are both standard imaging tools. Physicians use them to pinpoint disease states in the body. A CT scan identifies a suspected tumor. The PET scan confirms if the tumor is...

Partners & Customers

Like What We Do? Come And Join Us. We Are Looking For Your Experience And Potential.