Fig. 2: Tumor/normal classification using CNNs. | Nature Communications

Fig. 2: Tumor/normal classification using CNNs.

From: Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Fig. 2

a Numbers of tumor and normal slides in test and training sets. b Per-tile classification metrics. Tile-level test set sizes are provided in Supplementary Data 3. c Fraction of tiles predicted to be tumor within each slide. d Per-slide AUC values for tumor/normal classification for ROC and precision-recall curve (PR). e Pearson correlation coefficients between predicted and pathologist evaluation of tumor purity. P values are based on the permutation test of the dependent variable after Bonferroni correction across all cancer types. Raw and adjusted P values are provided in Supplementary Data 4.

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