An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation-Reference-Cited by-同舟云学术

An Improved Combination of Faster R-CNN and U-Net Network for Accurate Multi-Modality Whole Heart Segmentation

Published:2023-07 Issue:7 Volume:27 Page:3408-3419
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cui Hengfei¹^ORCID,Wang Yifan¹^ORCID,Li Yan¹^ORCID,Xu Di²^ORCID,Jiang Lei¹^ORCID,Xia Yong¹^ORCID,Zhang Yanning¹^ORCID

Affiliation:

1. National Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology, School of Computer Science, Northwestern Polytechnical University, Xi'an, China

2. Media Innovation Lab, Huawei Cloud, Xi'an, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Key Research and Development Program of Shaanxi Province, China

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/ielx7/6221020/10171108/10098875.pdf?arnumber=10098875

Reference34 articles.

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4. Snake Model-Based Automatic Segmentation of the Left Ventricle from Cardiac MR Images

5. An early vision-based snake model for ultrasound image segmentation

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