MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography-Reference-Cited by-同舟云学术

MCAL: An Anatomical Knowledge Learning Model for Myocardial Segmentation in 2-D Echocardiography

Published:2022-04 Issue:4 Volume:69 Page:1277-1287
ISSN:0885-3010
Container-title:IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
language:
Short-container-title:IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

Author:

Cui Xiaoxiao¹^ORCID,Zhang Pengfei²^ORCID,Li Yujun¹^ORCID,Liu Zhi¹^ORCID,Xiao Xiaoyan³^ORCID,Zhang Yang⁴^ORCID,Sun Longkun²^ORCID,Cui Lizhen⁵^ORCID,Yang Guang⁶^ORCID,Li Shuo⁷^ORCID

Affiliation:

1. School of Information Science and Engineering, Shandong University, Qingdao, China

2. Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China

3. Department of Nephrology, Qilu Hospital, Shandong University, Jinan, China

4. Department of Radiology, Qilu Hospital, Shandong University, Jinan, China

5. Joint SDU-NTU Center for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China

6. National Heart and Lung Institute, Imperial College London, London, U.K.

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

Funder

National Natural Science Foundation of China

Joint Fund for Smart Computing of the Shandong Natural Science Foundation

Major Fundamental Research of the Natural Science Foundation of Shandong Province

Fundamental Research Funds of Shandong University

General Financial Grant from the China Postdoctoral Science Foundation

MRC

UKRI Future Leaders Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/58/9745390/09714298.pdf?arnumber=9714298

Reference42 articles.

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4. Auto-encoding variational Bayes;kingma;arXiv 1312 6114,2013

5. Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors

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