MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation-Reference-Cited by-同舟云学术

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MSDEnet: Multi-scale detail enhanced network based on human visual system for medical image segmentation

Published:2024-03 Issue: Volume:170 Page:108010
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ma Yuangang,Xu Hong,Feng Yue,Lin Zhuosheng,Li Fufeng,Wu Xin,Liu Qichao,Zhang Shuangsheng

Funder

Wuyi University

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference49 articles.

1. Automated segmentation of abnormal tissues in medical images;Homayoun;J. Biomed. Phys. Eng.,2019

2. Deep Learning in Medical Image Analysis: Challenges and Applications;Lee,2020

3. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015

4. M2SNet: Multi-scale in multi-scale subtraction network for medical image segmentation;Zhao,2023

5. TransUNet: Transformers make strong encoders for medical image segmentation;Chen,2021

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