Analyzing a 2D Dataset consisting of Colorectal Cancer Tissue Images (Segmentation Task) with a U-Net using the Pytorch library. The code is tested and written on a Windows platform.
A special thanks to Dr. med. Weis and his group who supplied us with the huge data set with over 20.000 crc images and corresponding masks! Moreover thanks to Prof. Dr. Hesser for arranging contact.
Left - Image | Center - Ground Truth | Right - Prediction
