Detection of Colorectal Carcinoma and Tissue Partitioning – „Whole Slide Cartography“

Goal: partition different tissue types and detect adeno carcinoma in H&E stained colon tissue sections

Partners: joint effort with the Institute of Pathology of the University Hospital Erlangen

Current Status:

  • Created annotated database of 20x H&E slides
  • Currently training AI models to classify patches from Whole-Slide
  • Currently rescanning slides with other scanners to become more robust to scanner variations

Database:

  • over 300 whole-slides that amount to nearly 30 mio. tiles of size 227x227
  • many classes: tumor, tumor cell clusters, fat, mucosa, connective tissue, blood vessels, lymphoid follicles

Solution:

  • end to end training of Convolutional Neural Network

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