Table 2 Table of evaluation results for each model for view classification

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

Model Train Accuracy Test Accuracy Training Time/Epoch
CNN 95.39% 92.05% (+/−0.72) 919 s
CNN with Segmentation 95.18% 93.64% (+/−0.61) 903 s
Resnet50* 92.61% 91.36% (+/−1.43) 7482 s
VGG16* 98.15% 83.67% (+/−2.68) 4559 s
    (second stage)
Ensemble 94.40% (+/−0.52)