Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning

Figure 7 Mutation prediction of APC and KRAS genes for the Seoul St. Mary Hospital colorectal cancer tissue slides by the classifiers trained with both The Cancer Genome Atlas and Seoul St. Mary Hospital data. A: Representative whole slide images of the slides with APC gene mutation correctly classified as mutation, with wild-type gene correctly classified as wild-type, with gene mutation falsely classified as wild-type, and with wild-type gene falsely classified as mutation, from left to right; B: Receiver operating characteristic curves for the fold with lowest area under the curve (AUC), for the fold with highest AUC, and for the concatenated results of all ten folds, from left to right; C and D: Same as A and B, but the results were for the KRAS gene. SMH: Seoul St. Mary Hospital; APC-M: APC mutated; APC-W: APC wild-type; KRAS-M: KRAS mutated; KRAS-W: KRAS wild-type; AUC: Area under the curve; FFPE: Formalin-fixed paraffin-embedded.