Contrastive meta-domain adaptation for robust skin lesion classification across clinical and acquisition conditions 事件

Contrastive meta-domain adaptation for robust skin lesion classification across clinical and acquisition conditions arXiv:2602.19857v2 Announce Type: replace Abstract: Deep learning models for dermatological image analysis remain sensitive to acquisition variability and domain-specific visual characteristics, leading to performance degradation when deployed in clinical settings. We investigate how visual artifacts and domain shifts affect deep learning-based skin lesion classification. We propo