MTL-ABS<sup>3</sup>Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images-Reference-Cited by-同舟云学术

MTL-ABS³Net: Atlas-Based Semi-Supervised Organ Segmentation Network With Multi-Task Learning for Medical Images

Published:2022-08 Issue:8 Volume:26 Page:3988-3998
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Huang Huimin¹^ORCID,Chen Qingqing²^ORCID,Lin Lanfen¹^ORCID,Cai Ming¹^ORCID,Zhang Qiaowei²,Iwamoto Yutaro³^ORCID,Han Xianhua³^ORCID,Furukawa Akira⁴,Kanasaki Shuzo⁵,Chen Yen-Wei⁶^ORCID,Tong Ruofeng¹^ORCID,Hu Hongjie²

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, Hangzhou, China

2. Department of Radiology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China

3. College of Information Science and Engineering, Ritsumeikan University, Shiga, Japan

4. Radiology Department, Tokyo Metropolitan University, Tokyo, Japan

5. Radiology Department, Shiga University of Medical Science, Shiga, Japan

6. College of Information Science and Engineering, Ritsumeikan University, Kusatsu, Japan

Funder

Major Scientific Research Project of Zhejiang Lab

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang Province

Program Co-Sponsored by Province and Ministry

Special Fund for Basic Scientific Research Business Expenses of Zhejiang University

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9855434/09721677.pdf?arnumber=9721677

Reference43 articles.

1. ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

2. Shape-Aware Semi-supervised 3D Semantic Segmentation for Medical Images

3. Uncertainty Guided Semi-supervised Segmentation of Retinal Layers in OCT Images

4. Deep MR Brain Image Super-Resolution Using Spatio-Structural Priors

5. The Design of SimpleITK

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