Automatic Coronary Artery Segmentation of CCTA Images With an Efficient Feature-Fusion-and-Rectification 3D-UNet-Reference-Cited by-同舟云学术

Automatic Coronary Artery Segmentation of CCTA Images With an Efficient Feature-Fusion-and-Rectification 3D-UNet

Author:

Song Along¹,Xu Lisheng²^ORCID,Wang Lu¹^ORCID,Wang Bin¹,Yang Xiaofan¹,Xu Bu²,Yang Benqiang³,Greenwald Stephen E.⁴^ORCID

Affiliation:

1. School of Computer Science and Engineering, Northeastern University, Shenyang, China

2. Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China

3. Department of Radiology, General Hospital of North Theater Command, Shenyang, China

4. Blizard Institute, Barts & The London School of Medicine & Dentistry, Queen Mary University of London, London, U.K.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Liaoning Province

Department of Education of Liaoning Province

Fundamental Research Funds for the Central Universities

National Key Research and Development Program of China

Shenyang Science and Technology Plan Fund

Neusoft Research of Intelligent Healthcare Technology, Co. Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

Reference38 articles.

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