Precision and efficiency in skin cancer segmentation through a dual encoder deep learning model

Abstract Skin cancer is a prevalent health concern, and accurate segmentation of skin lesions is crucial for early diagnosis. Existing methods for skin lesion segmentation often face trade-offs between efficiency and feature extraction capabilities. This paper proposes Dual Skin Segmentation (DuaSki...

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Detalhes bibliográficos

Principais autores:	Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-02-01
Colecção:	Scientific Reports
Assuntos:	Skin Lesion Segmentation Dual Encoder Vision Transformer (ViT) Convolutional Neural Networks (CNNs) ViT-CNN
Acesso em linha:	https://doi.org/10.1038/s41598-025-88753-3
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