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Fig. 4 | BMC Medicine

Fig. 4

From: Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks

Fig. 4

Convolutional neural networks predicted the platinum-based chemotherapy response of patients with serous ovarian carcinoma. a Convolutional neural networks stratified serous ovarian carcinoma patients with different platinum-based chemotherapy response (log-rank test P = 0.003). Kaplan-Meier curves of the image-based stratification in the test cases are shown. b The gradient-weighted class activation map (grad-CAM) of a histopathology image of a serous ovarian carcinoma patient with short platinum-free interval (PFI) and the original hematoxylin-and-eosin-stained histopathology image. c The grad-CAM of a histopathology image of a serous ovarian carcinoma patient with long PFI and the original hematoxylin-and-eosin-stained histopathology image. Grad-CAMs highlighted regions occupied by the tumor cells

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