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Fig. 3 | Breast Cancer Research

Fig. 3

From: Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer

Fig. 3

The DL-based classification model distinguishes the Mes- and Epi-phenotypes in ER+ breast cancer based on H&E histopathology images. A Patch-level ROC curve and C confusion matrix of the phenotype classifier. B Slide-level ROC curve and D confusion matrix of the phenotype classifier. The Mes-phenotype was defined as the positive class in the ROC curves

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Breast Cancer Research

ISSN: 1465-542X

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