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Federated Learning for Breast Density Classification: A Real-World Implementation

Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel Rubin, Jayashree Kalpathy-Cramer

2020Lecture notes in computer science124 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceGeneralizability theoryArtificial intelligenceTraining setClass (philosophy)Set (abstract data type)Data setMachine learningDeep learningFederated learningData miningLabeled dataData modelingBreast imagingSupervised learningAI in cancer detectionDigital Radiography and Breast ImagingPrivacy-Preserving Technologies in Data
Federated Learning for Breast Density Classification: A Real-World Implementation | Litcius