Convolution Neural Network for Objective Myocardial Viability Assessment Based on Regional Wall Thickness Quantification From Cine-MR Images-Reference-Cited by-同舟云学术

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Convolution Neural Network for Objective Myocardial Viability Assessment Based on Regional Wall Thickness Quantification From Cine-MR Images

Published:2024 Issue: Volume:12 Page:112381-112396
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Baccouch Wafa¹^ORCID,Hadidi Tareq²,Benameur Narjes¹,Lahidheb Dhaker³,Labidi Salam¹

Affiliation:

1. Higher Institute of Medical Technologies of Tunis, Research Laboratory of Biophysics and Medical Technologies (LR13ES07), University of Tunis El Manar, Tunis, Tunisia

2. Biomedical Technology Department, Applied Medical Sciences College, Prince Salman Bin Abdulaziz University, Al-Kharj, Saudi Arabia

3. Faculty of Medicine of Tunis, University of Tunis El Manar, Tunis, Tunisia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10633713.pdf?arnumber=10633713

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