BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation-Reference-Cited by-同舟云学术

BMAnet: Boundary Mining With Adversarial Learning for Semi-Supervised 2D Myocardial Infarction Segmentation

Author:

Xu Chenchu¹^ORCID,Wang Yifei¹,Zhang Dong²^ORCID,Han Longfei³,Zhang Yanping¹,Chen Jie¹,Li Shuo⁴^ORCID

Affiliation:

1. School of Computer Science and Technology, Anhui University, Hefei, China

2. Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada

3. Department of Computer Science and Technology, Beijing Technology and Business University, Beijing, China

4. Department of Medical Imaging, Western University, London, ON, Canada

Funder

National Natural Science Foundation of China

University Synergy Innovation Program of Anhui Province

Natural Science Foundation of Anhui Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference37 articles.

1. Temporal ensembling for semi-supervised learning;laine;Proc 5th Int Conf Learn Representations,0

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