Figure 2
From: Deep learning for transesophageal echocardiography view classification
View classification model performance on the internal (CSMC) hold-out test set and the external (SUMC) test set. (a) AUC’s for each view class, demonstrating high accuracy (with AUC’s ranging from 0.816 to 0.957). No AUC was able to be calculated for the ME Left Atrial Appendage View in the randomly selected SUMC test set due to low sampling. (b) Confusion matrices showing model performance, with views labeled by a board-certified echocardiographer along the vertical axis and views predicted by the deep learning model on the horizontal axis. Numerical values in the matrices and the color intensity of the heatmaps represent the number of images with the indicated ground-truth and model-predicted labels. AUC, area under the receiver operating curve; CSMC, Cedars Sinai Medical Center; SUMC, Stanford University Medical Center; ME, mid-esophageal; AV, aortic valve; SAX, short axis; TG, trans-gastric; LV, left ventricular.
