Deep Learning-Based Classification of Echocardiographic Perspectives: Emphasis on Parasternal Long Axis and Apical 4 Chamber for Mitral Valve Assessment-Reference-Cited by-同舟云学术

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Deep Learning-Based Classification of Echocardiographic Perspectives: Emphasis on Parasternal Long Axis and Apical 4 Chamber for Mitral Valve Assessment

Published:2023-12-27 Issue: Volume:2023 Page:1-6
ISSN:
Container-title:2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI)
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Author:

Ahmed Omar¹,Hamdy Ahmed¹,Hesham Reem¹,Attar Hani²,Magdy Philopateer¹,Hafez Mohamed³,Saleh Hana¹,Deif Mohanad A.³

Affiliation:

1. College of Information Technology, Misr University for Science and Technology (MUST),Department of Artificial Intelligence,Giza,Egypt,12566

2. Zarqa University,Faculty of Engineering,Zarqa,Jordan

3. Faculty of Engineering FEQS INTI-IU-University,Nilai,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10590066/10590003/10590558.pdf?arnumber=10590558

Reference19 articles.

1. Automatic morphological classification of mitral valve diseases in echocardiographic images based on explainable deep learning methods

2. Deep learning interpretation of echocardiograms

3. Deep Learning Methods for Classification of Certain Abnormalities in Echocardiography

4. Machine Learning Applied to Support Medical Decision in Transthoracic Echocardiogram Exams: A Systematic Review

5. Mitral Valve Regurgitation in the Contemporary Era

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