DEVELOPMENT AND VALIDATION OF A DEEP LEARNING SYSTEM WITH MULTI-INPUT CONVOLUTIONAL NEURAL NETWORK FOR IDENTIFYING HYPERTROPHIC CARDIOMYOPATHY IN CARDIAC MAGNETIC RESONANCE IMAGES

Deep learning systems (DLSs) with multi-input convolutional neural network (CNN) might allow accurate differentiation of patients with anatomical abnormality by inputting multiple medical images into the network, only a few DLSs have been reported in detecting cardiovascular diseases. Patients with