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Found 3 papers, 1 papers with code
Interpretable histopathology-based prediction of disease relevant features in Inflammatory Bowel Disease biopsies using weakly-supervised deep learning
Finally, we identified several cell level features indicative of disease severity in CD and UC.
Automated Quanti cation Of Blood Microvessels In Hematoxylin And Eosin Whole Slide Images
In order to be provided with a supportive micro-environment rich with resources to sustain optimal growth, tumour cells tend to reside in close proximity to a network of blood vessels.
Glioma Classification Using Multimodal Radiology and Histology Data
The classification algorithm initially carries out tile-level (for histology) and slice-level (for radiology) classification via a deep learning method, then tile/slice-level latent features are combined for a whole-slide and whole-volume sub-type prediction.
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