Fig. 2
From: Sparse coding of pathology slides compared to transfer learning with deep neural networks
Sample region-of-interest (ROI) images. Each group of 8 small images contains ROIs derived from contemporaneous normal and tumor tissue samples from a single patient; within each group, the top row of 4 represents normal tissue; the bottom row, tumor tissue. Groups represent the following tumor types (left to right): row 1, adrenal, bile duct, bladder, stomach; row 2, breast, breast, colon, colon; row 3, lung, liver, pancreas, thyroid; row 4, prostate, prostate, kidney, kidney. Some sample pairs show overt tumor signatures (e.g., tissue disorganization, densely packed nuclei associated with rapid proliferation), but other samples lack such obvious features