Open AccessIdentification and Quantification of Cardiovascular Structures From CCTA
Author(s) -
Lohendran Baskaran,
Gabriel Maliakal,
Subhi J. Al’Aref,
Gurpreet Singh,
Zhuoran Xu,
Kelly Michalak,
Kristina Dolan,
Umberto Gianni,
Alexander van Rosendael,
Inge van den Hoogen,
Donghee Han,
Wijnand J. Stuijfzand,
Mohit Pandey,
Benjamin C. Lee,
Fay Y. Lin,
Gianluca Pontone,
Paul Knaapen,
Hugo Marques,
Jeroen J. Bax,
Daniel S. Berman,
HyukJae Chang,
Leslee J. Shaw,
James K. Min
Publication year - 2019
Publication title -
jacc. cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.79
H-Index - 120
eISSN - 1936-878X
pISSN - 1876-7591
DOI - 10.1016/j.jcmg.2019.08.025
Subject(s) - interquartile range , medicine , nuclear medicine , confidence interval , cardiology , radiology
This study designed and evaluated an end-to-end deep learning solution for cardiac segmentation and quantification.
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