Progressive Perception Learning for Main Coronary Segmentation in X-Ray Angiography-Reference-Cited by-同舟云学术

Progressive Perception Learning for Main Coronary Segmentation in X-Ray Angiography

Published:2023-03 Issue:3 Volume:42 Page:864-879
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Zhang Hongwei¹^ORCID,Gao Zhifan¹^ORCID,Zhang Dong¹^ORCID,Hau William Kongto²^ORCID,Zhang Heye¹^ORCID

Affiliation:

1. School of Biomedical Engineering, Sun Yat-sen University, Shenzhen, China

2. Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, New Territories, Hong Kong

Funder

National Natural Science Foundation of China

ShenzhenScience and Technology Program

Guangdong Natural Science Funds for Distinguished Young Scholar

National Youth Talent Support Program

Basic and Applied Basic Research Foundation of Guangdong Province

Guangdong Natural Science Funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/42/10057585/09937189.pdf?arnumber=9937189

Reference67 articles.

1. Abstract 14957: Comparison of Coronary Tree Detection and Diameter Quantification From a Deep Learning Convolutional Neural Network With Quantitative Coronary Angiography

2. Semi-supervised Learning for Biomedical Image Segmentation via Forest Oriented Super Pixels(Voxels)

3. Comparison of physician visual assessment with quantitative coronary angiography in assessment of stenosis severity in China;zhang;Journal of Internal Medicine,2018

4. Direct Quantification for Coronary Artery Stenosis Using Multiview Learning

5. UENet: A Novel Generative Adversarial Network for Angiography Image Segmentation

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