Automatic boundary detection and severity assessment of mitral regurgitation-Reference-Cited by-同舟云学术

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Automatic boundary detection and severity assessment of mitral regurgitation

Published:2023-04 Issue: Volume:82 Page:104616
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Thanaraj Santhiya,Balodi Arun,Anand R.S.,Rawat Anurag

Funder

Ministry of Education, India

Indian Institute of Technology Delhi

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference59 articles.

1. Echo Made Easy;Kaddoura,2012

2. A new method to quantify mitral regurgitation;Bhachu;Imaging (MRI),2004

3. Functional anatomy of mitral regurgitation: accuracy and outcome implications of transesophageal echocardiography;Enriquez-Sarano;J. Am. Coll. Cardiol.,1999

4. Computer-aided classification of the mitral regurgitation using multiresolution local binary pattern;Balodi;Neural Comput. Appl.,2020

5. Multi-level semantic adaptation for few-shot segmentation on cardiac image sequences;Guo;Med. Image Anal.,2021

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