Whole slide images are 2d point clouds: Context-aware survival prediction using patch-based graph convolutional networks
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen, TY Chen… - arXiv e …, 2021 - ui.adsabs.harvard.edu
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …
[PDF][PDF] Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen… - arXiv preprint arXiv …, 2021 - academia.edu
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen, TY Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction Using Patch-Based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen, TY Chen… - … Conference on Medical …, 2021 - dl.acm.org
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …
[PDF][PDF] Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
RJ Chen, MY Lu, M Shaban, C Chen… - arXiv preprint arXiv …, 2021 - academia.edu
Cancer prognostication is a challenging task in computational pathology that requires
context-aware representations of histology features to adequately infer patient survival …
context-aware representations of histology features to adequately infer patient survival …