Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading

Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading

Artificial intelligence (AI) holds significant promise in transforming medical imaging, enhancing diagnostics, and refining treatment strategies. However, the reliance on extensive multicenter datasets for training AI models poses challenges due to privacy concerns. Federated learning provides a sol...

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Bibliographic Details
Main Authors: Fei Kong, Xiyue Wang, Jinxi Xiang, Sen Yang, Xinran Wang, Meng Yue, Jun Zhang, Junhan Zhao, Xiao Han, Yuhan Dong, Biyue Zhu, Fang Wang, Yueping Liu
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Histopathology
Cancer detection
Federated learning
Consistent learning
Attention mechanism
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024000825

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http://www.sciencedirect.com/science/article/pii/S2001037024000825

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