Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks

@inproceedings{Chen2021WholeSI,
  title={Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks},
  author={Richard J. Chen and Ming Y. Lu and Muhammad Shaban and Chengkuan Chen and Tiffany Y. Chen and Drew F. K. Williamson and Faisal Mahmood},
  booktitle={MICCAI},
  year={2021}
}
Cancer prognostication is a challenging task in computational pathology that requires context-aware representations of histology features to adequately infer patient survival. Despite the advancements made in weakly-supervised deep learning, many approaches are not context-aware and are unable to model important morphological feature interactions between cell identities and tissue types that are prognostic for patient survival. In this work, we present Patch-GCN, a contextaware, spatially… Expand
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