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

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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Bibliographic Details
Main Authors: Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Skin Lesion Segmentation
Dual Encoder
Vision Transformer (ViT)
Convolutional Neural Networks (CNNs)
ViT-CNN
Online Access:https://doi.org/10.1038/s41598-025-88753-3
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