AA-ResUNet: an automatic skin lesion segmentation method based on fine-grained encoder-decoder architecture

Automated segmentation of skin lesions is a critical task in the computer-aided diagnosis of skin cancer. This article presents a novel deep learning model, Attention-Attention Residual U-Net (AA-ResUNet), designed to improve the precision and effectiveness of dermatoscopic image segmentation. The p...

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Detalhes bibliográficos

Principais autores:	Usman Zia, Madiha Tahir, Syed Ali Irtaza, Mohammad Arif, Sadique Ahmad, Ala Saleh Alluhaidan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2026-07-01
coleção:	PeerJ Computer Science
Assuntos:	Residual neural network Convolutional neural network Skin lesion segmentation Dermoscopy images
Acesso em linha:	https://peerj.com/articles/cs-3969.pdf
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