Article

Multi-label transformer for dermoscopic artifact detection with an imbalance-aware and confidence-penalizing loss

2025-11-12

Abstract excerpt

<title>Abstract</title> <p>Artifacts in dermoscopic images---such as rulers, gel bubbles, or ink stains---can compromise automated skin lesion analysis and reduce diagnostic reliability. Despite their clinical relevance, prior research has primarily targeted the removal or impact assessment of single artifact types, without addressing their automatic detection or co-occurrence modeling.In this work, we introduce...

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Literature Corpus work: b6877a84-2f61-52d8-9458-c73a537e4cc5
DOI: 10.21203/rs.3.rs-8057275/v1

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