Previously, various algorithms using machine learning have been developed to analyze pathology images for cancer detection [31], assessment of the histologic growth pattern [32] and PD-L1 status [33], histological subtyping [34], microenvironment analysis [20,21,25,27], and nuclear segmentation [23]. This evidence concerns the gene CD274 and cancer.