Fig. 2.

: Deep-learning tissue classification. The initial output of the deep-learning pipeline involves classifying tissue tiles as either tumor or non-tumor based on their morphological features. A: annotations made by the pathologist on the H&E slide indicate the tumor area manually identified across the image. B: the algorithm's tumor classification is shown, with red highlighting the regions where the model has detected tumor-containing tiles, visually marking the zones identified by the deep-learning process.