An automated method of identifying incorrectly labelled images based on the sequences of loss functions of deep learning networks

arXiv:2607.02594v1 Announce Type: new Abstract: Deep learning is widely applied in medical image analysis, but up to 10% of manually labelled images may be incorrect, degrading model performance. This paper proposes an automated method to identify incorrectly labelled medical images by analyzing sequences of loss functions from deep learning classification networks over multiple training epochs. Identified images can be reviewed and relabelled by experts, improving dataset quality and model perf...