Clinical Expert Uncertainty Guided Generalized Label Smoothing for Medical Noisy Label Learning

We address label noise in medical image datasets caused by clinical expert uncertainty in diagnostic notes. We propose a clinical expert uncertainty-aware benchmark and a label smoothing method that significantly outperforms current approaches.

Authors: Kunyu Zhang, Lin Gu, Liangchen Liu, Yingke Chen, Bingyang Wang, Jin Yan, Yingying Zhu

Links: [Paper] [Code]