QR Code

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...

Full description

Saved in:
Main Authors: 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
Language:Inglês
Published: Springer 2026-03-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Adaptive attention
Hybrid CNN–ViT model
Skin lesion segmentation
Melanoma detection
Explainable AI
Self-distillation
Online Access:https://doi.org/10.1007/s44196-026-01233-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items