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BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning

First Author: Xue Y

Attributed to: From trivial representations to learning concepts in AI by exploiting unique data funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-031-72787-0_10

Publication URI: http://dx.doi.org/10.1007/978-3-031-72787-0_10

Type: Book Chapter

Book Title: Ethics and Fairness in Medical Imaging - Second International Workshop on Fairness of AI in Medical Imaging, FAIMI 2024, and Third International Workshop on Ethical and Philosophical Issues in Medical Imaging, EPIMI 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6-10, 2024, Proceedings (2025)

Page Reference: 98-108