Fig. 3

Testing tile-level histology classification performance in the model development cohort. Confusion matrix showing the aggregated performance of the rbfSVM model for tile-level histology class prediction (i.e., 0, stroma; 1, tumor; 2, tertiary TILs; 3, stroma TILs; 4, normal tissue; 5, PGCCs; 6, blood vessels; 7, necrosis; 8, microvessel; 9, benign tumor; 10, tumor TILs; 11, in situ carcinoma; 12, hemorrhage; 13, adipocytes; 14, apocrine change; 15 mucinous change; and 16, background). Abbreviations: 1NN, 1-nearest neighbor; linSVM, linear support vector machine SVM; PGCC: polyploid giant cancer cells; rbfSVM, radial basis function SVM