Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning-Reference-Cited by-同舟云学术

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Robust Semi-Supervised 3D Medical Image Segmentation With Diverse Joint-Task Learning and Decoupled Inter-Student Learning

Published:2024-06 Issue:6 Volume:43 Page:2317-2331
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhou Quan¹^ORCID,Yu Bin¹,Xiao Feng²^ORCID,Ding Mingyue¹^ORCID,Wang Zhiwei³^ORCID,Zhang Xuming¹^ORCID

Affiliation:

1. Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Department of Radiology, Zhongnan Hospital, Wuhan University, Wuhan, China

3. MoE Key Laboratory for Biomedical Photonics, Collaborative Innovation Center for Biomedical Engineering, School of Engineering Sciences, Huazhong University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10547147/10422981.pdf?arnumber=10422981

Reference57 articles.

1. Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation

2. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

3. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Deep Distance Transform for Tubular Structure Segmentation in CT Scans

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