Noise-Estimation-Dominated Fuzzy Segmentation Strategy for Accurate Implantation of Implantable Cardioverter Defibrillators-Reference-Cited by-同舟云学术

Noise-Estimation-Dominated Fuzzy Segmentation Strategy for Accurate Implantation of Implantable Cardioverter Defibrillators

Published:2024-09 Issue:9 Volume:32 Page:4902-4911
ISSN:1063-6706
Container-title:IEEE Transactions on Fuzzy Systems
language:
Short-container-title:IEEE Trans. Fuzzy Syst.

Author:

Wang Cong¹^ORCID,Tan Xin²^ORCID,Li Bo³^ORCID,Zhou MengChu⁴^ORCID

Affiliation:

1. School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China

2. School of Computer Science and the School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Northwestern Polytechnical University, Xi'an, China

3. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China

4. School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Young Talent Fund of Association for Science and Technology in Shaanxi, China

Basic and Applied Basic Research Foundation of Guangdong Province

Chunhui Program of Ministry of Education of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/91/10665743/10432984.pdf?arnumber=10432984

Reference57 articles.

1. Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology

2. The automatic implantable cardioverter-defibrillator: An overview

3. Automatic initialization and quality control of large-scale cardiac MRI segmentations

4. Multi-atlas segmentation with augmented features for cardiac MR images

5. Deep Learning for Cardiac Image Segmentation: A Review