Cancer Center
AI in Oncology,
Pathology & Radiology

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

AI in digital Pathology

Faster and better tissue examination

AI in digital Radiology

Greater productivity in DICOM analysis

Custom AI Algorithm

Deep Learning and Artificial Intelligence on your service

Cancer Center – AI in Oncology benefits

Using AI and Deep Learning in Cancer Diagnosis makes the whole treatment much more efficient. Specialized algorithmic solutions analyze medical images for pathology and radiology. Althought AI will never replace doctors, it may significantly improve their tasks. Firstly, algorithms are more accurate than human eye. Secondly, they are much faster. 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

Cancer Center – News about AI in Oncology

MRI Analysis – case study

MRI Analysis - case study Cancer Center performed MRI Analysis of brain tumor to compare radiology and pathology classification. Firstly, we researched and built a segmentation mechanism for the MRI scans (ROI selection). Secondly, we researched and built a classifier...

Startup World Cup & Summit

Cancer Center on Startup World Cup & Summit Once again we are pleased to say that Cancer Center got into V4 finals of the Startup World Cup & Summit. SWCSummit is another one of the most significant prestigious startup events in Europe and Cancer Center will...

Start-up Challenge 2021 winners?

Start-up Challenge 2021 winners? Cancer Center is in the spotlight of the next big business competition. That is to say, we entered Start-up challenge 2021. A hundred of the best start-ups from Poland and central Europe competed for awards. From 170 companies only 18...

Partners & Customers

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