Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset

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Veröffentlicht in:	Journal of cardiovascular computed tomography 2023-11, Vol.17 (6), p.473-475
Hauptverfasser:	Muscogiuri, Emanuele, van Assen, Marly, Tessarin, Giovanni, Razavi, Alexander, Schwemmer, Chris, Schoebinger, Max, Wels, Michael, Rapaka, Saikiran, Fung, George S.K., Stillman, Arthur E., De Cecco, Carlo N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Calcium Computed tomography Convolutional neural network Coronary artery calcium score Humans Neural Networks, Computer Predictive Value of Tests Syngo.via CT CaScoring
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creator	Muscogiuri, Emanuele van Assen, Marly Tessarin, Giovanni Razavi, Alexander Schwemmer, Chris Schoebinger, Max Wels, Michael Rapaka, Saikiran Fung, George S.K. Stillman, Arthur E. De Cecco, Carlo N.
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doi_str_mv	10.1016/j.jcct.2023.10.014
format	Article
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source	MEDLINE; Elsevier ScienceDirect Journals
subjects	Algorithms Artificial intelligence Calcium Computed tomography Convolutional neural network Coronary artery calcium score Humans Neural Networks, Computer Predictive Value of Tests Syngo.via CT CaScoring
title	Validation of a convolutional neural network algorithm for calcium score quantification using a multivendor dataset
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