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The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography

Peng Xu, Jian Hua Li, Fan Zhou, Meng Jiang, Chang Sheng Zhou, Meng Jie Lu, Chun Xiang Tang, Xiao Lei Zhang, Yang Liu, Yuan Xiu Zhang, Yi Ning Wang, Jia Yin Zhang, Meng Yu, Yang Hou, Min Zheng, Bo Zhang, Dai Min Zhang, Yan Yi, Lei Xu, Xiu Hua Hu, Hui Liu, Guangming Lu, Qian Ni, Long Jiang Zhang

2020European Radiology45 citationsDOI

Topics & Concepts

MedicineFractional flow reserveRadiologyNeuroradiologyCoronary artery diseaseImage qualityArea under the curveAngiographyRetrospective cohort studyLesionInternal medicineCardiologyCoronary angiographySurgeryImage (mathematics)Myocardial infarctionArtificial intelligencePsychiatryNeurologyComputer scienceCardiac Imaging and DiagnosticsCoronary Interventions and DiagnosticsCerebrovascular and Carotid Artery Diseases
The influence of image quality on diagnostic performance of a machine learning–based fractional flow reserve derived from coronary CT angiography | Litcius