Skin Disease Segmentation Method Combining Dense Encoder and Dual-Path Attention

Skin Disease Segmentation Method Combining Dense Encoder and Dual-Path Attention

Aiming at the problems of different shapes and sizes, discontinuous and blurred boundaries, and high similarity between the lesion area and the background in dermoscopic image lesion areas, a skin lesion segmentation network integrating dense encoder and dual-path attention (DEDA-Net) is proposed. F...

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Bibliographic Details
Main Author: WANG Longye, XIAO Yue, ZENG Xiaoli, ZHANG Kaixin, MA Ao
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-04-01
Series:Jisuanji kexue yu tansuo
Subjects:
dermatology segmentation; multi-scale fusion; dense coding; attention mechanism; global normal pooling
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2303122.pdf

Internet

http://fcst.ceaj.org/fileup/1673-9418/PDF/2303122.pdf

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