Figure 3.

Tissue classes learned from convolutional neural network (CNN) in stomach cancer. Examples from mismatch repair deficiency (MMRD) and mismatch repair proficiency (MMRP) groups. The bar represents the spectrum of histologic diversity in the test set and it contains the top-ranking tiles per slide learned from CNN. These tiles were manually annotated by two pathologists among the following ten tissue labels: ADI, adipose tissue; BACK, background; DEB, debris; DIS, dysplasia; INF, inflammation; LYM, lymphocytes; MUS, smooth muscle; NORM, normal gastric mucosa; STR, cancer-associated stroma; TUM, gastric adenocarcinoma epithelium.