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Graph deep learning detects contextual prognostic biomarkers from whole-slide images

Graph deep learning can be used to detect contextual pathological features within a complex tumour microenvironment. We have shown the use of graph deep learning for predicting the prognosis of patients with tumours, and use it to identify additional contextual prognostic biomarkers for pathologists.

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Fig. 1: Schematic of the TEA-graph model.


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This is a summary of: Lee, Y. et al. Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning. Nat. Biomed. Eng. (2022).

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Graph deep learning detects contextual prognostic biomarkers from whole-slide images. Nat. Biomed. Eng (2022).

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