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...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Nature Portfolio 2025-02-01
Serie:	Scientific Reports
Ämnen:	Skin Lesion Segmentation Dual Encoder Vision Transformer (ViT) Convolutional Neural Networks (CNNs) ViT-CNN
Länkar:	https://doi.org/10.1038/s41598-025-88753-3
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!