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Fig. 2 | BMC Medicine

Fig. 2

From: Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC

Fig. 2

Selection and performance of CNN-SASM. A Five-fold cross-validation results of CNN-SASM compared with the baseline models on different subsets. B–C The AUROC scores of CNN-SASM for all subsets, along with the model’s generalization performance on the TCGA dataset. D–F The confusion matrix, ROC curve, and PR curve for the internal test set at the patch level. G–H The PCA and t-SNE clustering visualizations at the patch level for the internal test set and the TCGA dataset. ROC, receiver-operating characteristic

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