A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images-Reference-Cited by-同舟云学术

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A Coarse-Fine Collaborative Learning Model for Three Vessel Segmentation in Fetal Cardiac Ultrasound Images

Published:2024-07 Issue:7 Volume:28 Page:4036-4047
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Ling Shan¹^ORCID,Yan Laifa²^ORCID,Mao Rongsong²^ORCID,Li Jizhou³^ORCID,Xi Haoran¹^ORCID,Wang Fei⁴^ORCID,Li Xiaolin¹^ORCID,He Min¹^ORCID

Affiliation:

1. Zhejiang Cancer Hospital, Hangzhou Institute of Medicine, Chinese Academy of Sciences, Hangzhou, China

2. College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

3. School of Data Science, City University of Hong Kong, Hong Kong SAR, China

4. Center of Four-Dimensional Ultrasound, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou, China

Funder

National Key Research and Development Program of China

Zhejiang Province Soft Science Key Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6221020/10582272/10504880.pdf?arnumber=10504880

Reference52 articles.

1. Global, regional, and national burden of congenital heart disease, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

2. Incidence and mortality trend of congenital heart disease at the global, regional, and national level, 1990–2017

3. Global birth prevalence of congenital heart defects 1970–2017: updated systematic review and meta-analysis of 260 studies

4. Birth Prevalence of Congenital Heart Disease Worldwide

5. Temporal Trends in Survival Among Infants With Critical Congenital Heart Defects

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