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. 2020 Apr-Jun;16(2):138–145. doi: 10.14797/mdcj-16-2-138

Figure 2.

Figure 2.

Successful discrimination of echocardiographic views using convolutional neural networks. (A) Each cluster of test images corresponds to one of 23 different echocardiographic views, including apical views with or without occlusion of the left atrium. Echocardiographic still images provide examples of a 4-chamber view with and without occlusion of the left atrium. (B) Successful and unsuccessful view classifications within a matrix representation of the test data set. Successful classifications are shown as numbers along the diagonal, whereas misclassifications are indicated as off-diagonal entries. A2c: apical 2-chamber; A3c: apical 3-chamber; A4c: apical 4-chamber; echo: echocardiogram; LV: left ventricular; PLAX: parasternal long axis. Image reproduced from Zhang et al. (Open Access).7