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Coronary CTA With AI-QCT Interpretation: Comparison With Myocardial Perfusion Imaging for Detection of Obstructive Stenosis Using Invasive Angiography as Reference Standard

2022; American Roentgen Ray Society; Volume: 219; Issue: 3 Linguagem: Inglês

10.2214/ajr.21.27289

ISSN

1546-3141

Autores

Isabella Lipkin, Anha Telluri, Yumin Kim, Alfateh Sidahmed, Joseph Krepp, Brian G. Choi, Rebecca Jonas, Hugo Marques, Hyuk‐Jae Chang, Jung Hyun Choi, Joon‐Hyung Doh, Ae‐Young Her, Bon‐Kwon Koo, Chang‐Wook Nam, Hyung‐Bok Park, Sanghoon Shin, Jason Cole, Alessia Gimelli, Akram Khan, Bin Lü, Yang Gao, Faisal Nabi, Ryo Nakazato, U. Joseph Schoepf, Roel S. Driessen, Michiel J. Bom, James J. Jang, Michael Ridner, Chris Rowan, Erick Avelar, Philippe Généreux, Paul Knaapen, Guus A. de Waard, Gianluca Pontone, Daniele Andreini, Mouaz H. Al‐Mallah, Tami Crabtree, James P. Earls, Andrew Choi, James K. Min,

Tópico(s)

Advanced MRI Techniques and Applications

Resumo

Deep learning frameworks have been applied to interpretation of coronary CTA performed for coronary artery disease (CAD) evaluation.

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