SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation

SGNet: A Structure-Guided Network with Dual-Domain Boundary Enhancement and Semantic Fusion for Skin Lesion Segmentation

Segmentation of skin lesions in dermoscopic images is critical for the accurate diagnosis of skin cancers, particularly malignant melanoma, yet it is hindered by irregular lesion shapes, blurred boundaries, low contrast, and artifacts, such as hair interference. Conventional deep learning methods, t...

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Bibliographic Details
Main Authors: Haijiao Yun, Qingyu Du, Ziqing Han, Mingjing Li, Le Yang, Xinyang Liu, Chao Wang, Weitian Ma
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
computer-aided diagnosis
structure guidance
feature fusion
Visual Mamba
Online Access:https://www.mdpi.com/1424-8220/25/15/4652
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