Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures-Reference-Cited by-同舟云学术

Contrastive Semi-Supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures

Author:

Gu Ran¹^ORCID,Zhang Jingyang²^ORCID,Wang Guotai¹^ORCID,Lei Wenhui³^ORCID,Song Tao⁴,Zhang Xiaofan³,Li Kang⁵^ORCID,Zhang Shaoting¹

Affiliation:

1. School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China

3. Shanghai AI Laboratory, Shanghai, China

4. SenseTime Research, Shanghai, China

5. West China Hospital, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Department of Science and Technology of Sichuan Province, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

Reference50 articles.

2. Domain-adversarial training of neural networks;ganin;J Mach Learn Res,2017

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