Automated Segmentation of the Right Ventricle in 3D Echocardiography: A Kalman Filter State Estimation Approach

Author:

Bersvendsen Jorn,Orderud Fredrik,Massey Richard John,Fossa Kristian,Gerard Olivier,Urheim Stig,Samset Eigil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Study on Various Segmentation Approaches using Echocardiogram images for promoting Heart Disease Detection;2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2022-12-23

2. Simultaneous Segmentation of Four Cardiac Chambers in Fetal Echocardiography;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01

3. A category attention instance segmentation network for four cardiac chambers segmentation in fetal echocardiography;Computerized Medical Imaging and Graphics;2021-10

4. A Novel Framework with Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation;IEEE Journal of Biomedical and Health Informatics;2021

5. Two methods for modifed Doo–Sabin modeling of nonsmooth surfaces—applied to right ventricle modeling;Journal of Medical Imaging;2020-12-23

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