Volume 6 Issue 12, December 2022
Context-aware graph deep learning for prognostic histopathology
This issue highlights the development of machine-learning models for the detection of signs of disease in external photographs of the eyes, for the optimization of the trade-off between prediction performance and feature cost in healthcare applications, for the expert-level detection of pathologies from unannotated chest X-ray images, for transforming the style of tissue images, for the fast search and retrieval of whole-slide images, for the derivation of prognostic contextual histopathological features from whole-slide images of tumours, and for the characterization of tumour microenvironments from spatial protein profiles.
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.
Editorial
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