Fig. 6
From: Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance
Manually extracted features included in the machine learning (ML)-based algorithm (a), and comparison of the ROC curve with the deep-learning (DL)-based approach (b). AUC area under the curve, BSA body surface area, CA cardiac amyloidosis, CO cardiac output, LA left atrium, LGE late gadolinium enhancement, LVEDVI left ventricular end-diastolic volume index, LVEF left ventricular ejection fraction, LVESVI left ventricular end-systolic volume index, LVMI left ventricular mass index, LVSVI left ventricular stroke volume index, RA right atrium, ROC receiver operating characteristics, RVEDVI right ventricular end-diastolic volume index, RVESVI right ventricular end-systolic volume index, RVSVI right ventricular stroke volume index