Medicine and Health
Improving model fairness in image-based computer-aided diagnosis
M. Lin, T. Li, et al.
This innovative research by Mingquan Lin and colleagues addresses the critical issue of bias in deep learning models for medical image classification. By proposing an algorithm that enhances fairness while preserving diagnostic accuracy, this study provides valuable insights for future computer-aided diagnosis solutions.
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