Towards a Collective Medical Imaging AI: Enabling Continual Learning from Peers

被引：0

作者：

Zheng, Guangyao ^{[1
]}

Braverman, Vladimir ^{[1
]}

Leal, Jeffrey ^{[3
]}

Rowe, Steven ^{[7
]}

Leung, Doris ^{[5
,6
]}

Jacobs, Michael A. ^{[2
,3
]}

Parekh, Vishwa S. ^{[4
]}

机构：

[1] Department of Computer Science, Rice University, Houston,TX, United States

[2] Department Of Diagnostic And Interventional Imaging, McGovern Medical School, UTHealth Houston, Houston,TX, United States

[3] The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore,MD,21205, United States

[4] University of Maryland Medical Intelligent Imaging (UM2ii) Center, University of Maryland School of Medicine, Baltimore,MD,21201, United States

[5] Kennedy Krieger Institute, 716 North Broadway, Room 411, Baltimore,MD,21205, United States

[6] Department of Neurology, Johns Hopkins University School of Medicine, Baltimore,MD, United States

[7] Department of Radiology, UNC School of Medicine, Chapel Hill,NC, United States

来源：

Proceedings of Machine Learning Research | 2024年 / 250卷

关键词：

Compendex;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Federated learning

引用

页码：1862 / 1877