Fig. 9 | npj Digital Medicine

Fig. 9

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

Fig. 9

Performance of semi-supervised GAN for LVH classification in apical 4 chamber echocardiogram images. a For three separate models trained, the accuracy (top row) and F1-score (bottom row) is plotted vs number of epochs. The model training reliably reaches convergence and continues to fluctuate within a reasonable limit. b Normalized confusion matrix for an ensemble of the three models. This achieves an F1-score of 0.83 and accuracy of 92.3% (+/−0.57)