Adaptive Hybrid AI Framework for Robust and Explainable Skin Lesion Segmentation and Melanoma Detection

Abstract Melanoma remains one of the most aggressive forms of skin cancer, and early diagnosis is critical to improving patient survival. This study presents an Adaptive Hybrid AI Framework (AHA-Net) designed for accurate and interpretable skin lesion segmentation and melanoma classification. The pr...

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Auteurs principaux:	Umesh Kumar Lilhore, D. Anitha, R. Priya, Wasudeo P. Rahane, Sunil L. Bangare, R. Kavitha, Arvind Panwar, Lidia Gosy Tekeste, Ehab Ghith, Hanaa A. Abdallah, Sarita Simaiya
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2026-03-01
Collection:	International Journal of Computational Intelligence Systems
Sujets:	Adaptive attention Hybrid CNN–ViT model Skin lesion segmentation Melanoma detection Explainable AI Self-distillation
Accès en ligne:	https://doi.org/10.1007/s44196-026-01233-y
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