Automated computer-aided stenosis detection at coronary CT angiography: initial experience期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

Automated computer-aided stenosis detection at coronary CT angiography: initial experience

Authors:	Elisabeth Arnoldi Mulugeta Gebregziabher U. Joseph Schoepf Roman Goldenberg Luis Ramos-Duran Peter L. Zwerner Konstantin Nikolaou Maximilian F. Reiser Philip Costello Christian Thilo

Affiliation:	(1) Department of Radiology and Radiological Science, Medical University of South Carolina, Ashley River Tower, 25 Courtenay Drive, MSC 226, Charleston, SC 29401, USA;(2) Department of Clinical Radiology, University Hospitals Munich–Grosshadern Campus, Ludwig-Maximilians University, Munich, Germany;(3) Department of Biostatistics, Bioinformatics and Epidemiology, Medical University of South Carolina, Charleston, SC, USA;(4) Department of Medicine, Division of Cardiology, Medical University of South Carolina, Charleston, SC, USA;(5) Department of Research and Development, Rcadia Medical Imaging Ltd., Haifa, Israel;(6) Department of Cardiology, Klinikum Augsburg, Herzzentrum Augsburg-Schwaben, Augsburg, Germany;

Abstract:	Objective To evaluate the performance of a computer-aided algorithm for automated stenosis detection at coronary CT angiography (cCTA).

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