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Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images

11 December 2023

Papers citing "Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images"

21 / 21 papers shown

Title
Federated Learning for Medical Image Analysis: A Survey Hao Guan Pew-Thian Yap Andrea Bozoki Mingxia Liu FedML OOD 90 127 0 09 Jun 2023
Rethinking Normalization Methods in Federated Learning Zhixu Du Jingwei Sun Ang Li Pin-Yu Chen Jianyi Zhang H. Li Yiran Chen FedML 56 31 0 07 Oct 2022
HEROHE Challenge: assessing HER2 status in breast cancer without immunohistochemistry or in situ hybridization Eduardo Conde-Sousa João Vale Ming Feng Kele Xu Yin Wang ... Guilherme Aresta Teresa Araújo Paulo Aguiar C. Eloy A. Polónia 54 29 0 08 Nov 2021
ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning Hyuck Lee Seungjae Shin Heeyoung Kim CLL 63 94 0 20 Oct 2021
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhucheng Shao Hao Bian Yang Chen Yifeng Wang Jian Zhang Xiangyang Ji Yongbing Zhang ViT MedIm 98 676 0 02 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 463 21,564 0 25 Mar 2021
PCT: Point cloud transformer Meng-Hao Guo Junxiong Cai Zheng-Ning Liu Tai-Jiang Mu Ralph Robert Martin Shimin Hu ViT 3DPC 153 1,624 0 17 Dec 2020
Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning Bin Li Yin Li K. Eliceiri 90 619 0 17 Nov 2020
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 181 2,004 0 02 Nov 2020
Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis Richard J. Chen Ming Y. Lu Jingwen Wang Drew F. K. Williamson S. Rodig N. Lindeman Faisal Mahmood 65 407 0 18 Dec 2019
Decoupling Representation and Classifier for Long-Tailed Recognition Bingyi Kang Saining Xie Marcus Rohrbach Zhicheng Yan Albert Gordo Jiashi Feng Yannis Kalantidis OODD 180 1,222 0 21 Oct 2019
The Non-IID Data Quagmire of Decentralized Machine Learning Kevin Hsieh Amar Phanishayee O. Mutlu Phillip B. Gibbons 163 572 0 01 Oct 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 257 7,695 0 01 Oct 2018
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 518 1,990 0 09 Jun 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 175 1,823 0 13 Feb 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 257 6,169 0 24 Jan 2018
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 514 15,319 0 07 Jun 2017
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues Talha Qaiser A. Mukherjee Chaitanya Reddy Pb Sai Dileep Munugoti Vamsi Tallam ... G. Bueno David R. J. Snead I. Ellis M. Ilyas Nasir M. Rajpoot 39 121 0 23 May 2017
Axiomatic Attribution for Deep Networks Mukund Sundararajan Ankur Taly Qiqi Yan OOD FAtt 193 6,018 0 04 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 483 22,143 0 09 Dec 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,593 0 17 Feb 2016