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Context-aware graph deep learning for prognostic histopathology

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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Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research
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Nature
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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.

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.

See Lee et al.

Image: Younghee Lee, CUBE3D Graphic. Cover design: Allen Beattie.
Go to the profile of Pep Pàmies
Pep Pàmies
Chief Editor, Nature Biomedical Engineering, Nature Research

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Life Sciences > Biological Sciences > Biotechnology

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