Fig. 3: Deep learning features from WSI. | npj Breast Cancer

Fig. 3: Deep learning features from WSI.

From: Biological insights and novel biomarker discovery through deep learning approaches in breast cancer histopathology

Fig. 3

Categories of features extracted from deep learning systems in breast cancer are illustrated, including invasive carcinoma architecture, cellular makeup of the microenvironment, nuclei features (including segmentation, orientation and nucleoli prominence), and stroma characteristics including collagen fiber orientation. On the right, references of studies exploring the detection of the different categories of features.

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