Explainable AI-driven hybrid deep learning framework for accurate skin cancer diagnosis

Objectives To develop and evaluate a hybrid, partially interpretable deep learning (DL) approach for multi-class skin cancer classification that improves robustness under varying acquisition conditions and delivers clinically meaningful explanations. Methods The proposed pipeline starts with preproc...

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Главные авторы:	Abdullah Al Sakib, SM. Masfequier Rahman Swapno, Fahim Ahamed, Arafath Bin Mohiuddin, Md Imranul Hoque Bhuiyan, Shakil Khan, Katura Gania Khushbu, Rezaul Haque, Tahani Jaser Alahmadi, Mohammad Ali Moni
Формат:	Artigo
Язык:	Inglês
Опубликовано:	SAGE Publishing 2026-03-01
Серии:	Digital Health
Online-ссылка:	https://doi.org/10.1177/20552076261438923
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