ConvMedSegNet: A multi-receptive field depthwise convolutional neural network for medical image segmentation-Reference-Cited by-同舟云学术

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ConvMedSegNet: A multi-receptive field depthwise convolutional neural network for medical image segmentation

Published:2024-06 Issue: Volume:176 Page:108559
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Peng Yuxu,Yi Xin,Zhang Dengyong,Zhang Lebing^ORCID,Tian Yuehong,Zhou Zhifeng^ORCID

Funder

Scientific Research Foundation of Hunan Provincial Education Department

Hunan Provincial Natural Science Foundation

National Natural Science Foundation of China

Humanities and Social Science Fund of Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Reference57 articles.

1. Improved reptile search algorithm by Salp Swarm algorithm for medical image segmentation;Abualigah;J. Bionic Eng.,2023

2. A modified reptile search algorithm for global optimization and image segmentation: Case study brain MRI images;Emam;Comput. Biol. Med.,2023

3. Ldanet: Automatic lung parenchyma segmentation from CT images;Chen;Comput. Biol. Med.,2023

4. Gaussian barebone Salp Swarm algorithm with stochastic fractal search for medical image segmentation: A COVID-19 case study;Zhang;Comput. Biol. Med.,2021

5. Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients;Zhao;Comput. Biol. Chem.,2019

Cited by 1 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. Polar contrast attention and skip cross-channel aggregation for efficient learning in U-Net;Computers in Biology and Medicine;2024-10

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