Table 3 Test accuracies and F1 Scores for LVH classification models

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

Model Test Accuracy F1 Score
CNN (Stage 1) 84.07% (+/−1.23) 0.6027
CNN (Stage 2) 87.91% (+/−0.57) 0.7381
CNN with Segmentation (Stage 1) 81.32% (+/−0.98) 0.5952
CNN with Segmentation (Stage 2) 91.21% (+/−0.41) 0.8139