Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA-Reference-Cited by-同舟云学术

Performance of a deep learning algorithm for the evaluation of CAD-RADS classification with CCTA

Published:2020-02 Issue: Volume:294 Page:25-32
ISSN:0021-9150
Container-title:Atherosclerosis
language:en
Short-container-title:Atherosclerosis

Author:

Muscogiuri Giuseppe,Chiesa Mattia^ORCID,Trotta Michela,Gatti Marco^ORCID,Palmisano Vitanio,Dell’Aversana Serena,Baessato Francesca,Cavaliere Annachiara,Cicala Gloria,Loffreno Antonella,Rizzon Giulia,Guglielmo Marco,Baggiano Andrea,Fusini Laura,Saba Luca,Andreini Daniele,Pepi Mauro,Rabbat Mark G.,Guaricci Andrea I.^ORCID,De Cecco Carlo N.,Colombo Gualtiero^ORCID,Pontone Gianluca^ORCID

Funder

Italian Ministry of Health, Rome, Italy

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference26 articles.

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4. CAD-RADSTM Coronary Artery Disease – Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology

5. The coronary artery disease-reporting and data system (CAD-RADS): prognostic and clinical implications associated with standardized coronary computed tomography angiography reporting;Xie;JACC Cardiovasc Imaging,2018

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