Training and validation of a deep learning architecture for the automatic analysis of coronary angiography.
Du T, Xie L, Zhang H, Liu X, Wang X, Chen D, Xu Y, Sun Z, Zhou W, Song L, Guan C, Lansky AJ, Xu B. Training and validation of a deep learning architecture for the automatic analysis of coronary angiography. EuroIntervention 2021, 17: 32-40. PMID: 32830647, PMCID: PMC9753915, DOI: 10.4244/eij-d-20-00570.Peer-Reviewed Original ResearchMeSH KeywordsCoronary AngiographyCoronary StenosisCoronary VesselsDeep LearningHumansRetrospective StudiesConceptsDeep learning architectureLearning architectureDeep learningAutomatic recognitionF1 scoreRecognition accuracyAutomatic analysisData setsArchitectureMultimodal analysisRecognitionSingle aspectMultiple aspectsRecognition sensitivityRecent yearsLesion diameter stenosisMachineNetworkDiagnostic mapLearningData interpretationAccuracySetAspects