GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements

GSCEU-Net: An End-to-End Lightweight Skin Lesion Segmentation Model with Feature Fusion Based on U-Net Enhancements

Accurate segmentation of lesions can provide strong evidence for early skin cancer diagnosis by doctors, enabling timely treatment of patients and effectively reducing cancer mortality rates. In recent years, some deep learning models have utilized complex modules to improve their performance for sk...

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Bibliographic Details
Main Authors: Shengnan Hao, Haotian Wu, Yanyan Jiang, Zhanlin Ji, Li Zhao, Linyun Liu, Ivan Ganchev
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Information
Subjects:
skin lesion segmentation
convolutional neural network
lightweight
attention mechanism
Online Access:https://www.mdpi.com/2078-2489/14/9/486

Internet

https://www.mdpi.com/2078-2489/14/9/486

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