Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation-Reference-Cited by-同舟云学术

Improved Segmentation of Echocardiography With Orientation-Congruency of Optical Flow and Motion-Enhanced Segmentation

Published:2022-12 Issue:12 Volume:26 Page:6105-6115
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xue Wufeng¹^ORCID,Cao Heng¹,Ma Junqiang¹,Bai Ti²^ORCID,Wang Tianfu¹^ORCID,Ni Dong¹^ORCID

Affiliation:

1. National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Medical Ultrasound Image Computing (MUSIC) Laboratory, and Marshall Laboratory of Biomedical Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China

2. Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX, USA

Funder

National Natural Science Foundation of China

Shenzhen Basic Research

Shenzhen-Hong Kong Joint Research Program

Medical Scientific Research Foundation of Guangdong Province

Shenzhen College Stable Support Plan

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/ielx7/6221020/9973412/09946374.pdf?arnumber=9946374

Reference45 articles.

1. Stacked Hourglass Networks for Human Pose Estimation

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Interv,0

3. Pytorch: An imperative style, high-performance deep learning library;paszke;Proc Adv Neural Inf Process Syst,0

4. Automatic Segmentation of LV and RV in Cardiac MRI

5. Recommendations for chamber quantification☆

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