EA-Net: Research on skin lesion segmentation method based on U-Net-Reference-Cited by-同舟云学术

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EA-Net: Research on skin lesion segmentation method based on U-Net

Published:2023-12 Issue:12 Volume:9 Page:e22663
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Cheng Dapeng^ORCID,Gai Jiale,Mao Yanyan,Gao Xiaolian,Zhang Baosheng,Jing Wanting,Deng Jia,Zhao Feng,Mao Ning

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference33 articles.

1. An attentive survey of attention models;Chaudhari;ACM Trans. Intell. Syst. Technol.,2021

2. Dynamic convolution: attention over convolution kernels;Chen,2020

3. Xception: deep learning with depthwise separable convolutions;Chollet,2017

4. Skin lesion analysis toward melanoma detection: a challenge at the 2017 international symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC);Codella,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multi-level closing based segmentation framework for dermatoscopic images using ensemble deep network;International Journal of System Assurance Engineering and Management;2024-07-04

2. Medical Image Segmentation based on Multi-Perception Field Feature Interaction;Proceedings of the 5th International Conference on Computer Information and Big Data Applications;2024-04-26

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