SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images

30 June 2024

Papers citing "SCMIL: Sparse Context-aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images"

7 / 7 papers shown

Title
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 89 422 0 06 Jun 2022
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 72 615 0 17 Nov 2020
Whole Slide Images based Cancer Survival Prediction using Attention Guided Deep Multiple Instance Learning Networks Jiawen Yao Xinliang Zhu J. Jonnagaddala Nicholas J Hawkins Junzhou Huang 69 388 0 23 Sep 2020
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 230 7,638 0 01 Oct 2018
Machine Learning for Survival Analysis: A Survey Ping Wang Yan Li Chandan K. Reddy CML 133 337 0 15 Aug 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 468 15,218 0 07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 593 28,999 0 09 Sep 2016