Fig. 2: ROC curves of VGG19 using SDL and WSDL methodologies in patch-level prediction and Grad-CAMs of patches for cancer prognosis prediction. | npj Precision Oncology

Fig. 2: ROC curves of VGG19 using SDL and WSDL methodologies in patch-level prediction and Grad-CAMs of patches for cancer prognosis prediction.

From: Tumor cell- and infiltrating immune cell-based supervised learning artificial intelligence multimodal platform for tumor prognosis

Fig. 2

a Patch-level ROC curves of VGG19 using both SDL and WSDL methodologies. Regions highlighted in the Grad-CAMs represent tumor cells (b) and tumor-infiltrating immune cells (c), which are annotated in the H&E-stained images with yellow dotted lines. ROC receiver operating characteristic curve, VGG Visual Geometry Group, WSDL weakly supervised deep learning, SDL supervised deep learning.

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