The cover illustrates that graph deep learning applied to gigapixel whole-slide images of tumours can leverage information in the tumour microenvironment to derive interpretable histopathological features with prognostic value.
Context-aware graph deep learning for prognostic histopathology
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Derivation of prognostic contextual histopathological features from whole-slide images of tumours via graph deep learning - Nature Biomedical Engineering
Graph deep learning can leverage information in the tumour microenvironment to extract prognostic histopathological features from gigapixel-sized whole-slide images.
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Nature Biomedical Engineering
This journal aspires to become the most prominent publishing venue in biomedical engineering by bringing together the most important advances in the discipline, enhancing their visibility, and providing overviews of the state of the art in each field.