Deep echocardiography: data-efficient supervised and semi-supervised deep learning towards automated diagnosis of cardiac disease

Deep learning for echocardiography study diagram. a Two classification tasks were examined for echocardiography: view classification and left ventricular hypertrophy (LVH) classification. b Two different approaches for deep learning models were taken: a supervised pipeline model that performs segmentation (U-Net) before classification (CNN) and a semi-supervised generative adversarial network (GAN) for end-to-end learning. c The data, for both view and LVH classification, was split accordingly by study and no test data was utilized in training or validating the mode