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...

Descripció completa

Dades bibliogràfiques

Autors principals:	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
Idioma:	Inglês
Publicat:	Springer 2026-03-01
Col·lecció:	International Journal of Computational Intelligence Systems
Matèries:	Adaptive attention Hybrid CNN–ViT model Skin lesion segmentation Melanoma detection Explainable AI Self-distillation
Accés en línia:	https://doi.org/10.1007/s44196-026-01233-y
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!