Figure 2.

Pixel-based confusion matrices and ROCs from segmenting the DENSE LV test-set images (N = 2448, 12 sets) with the DCNN and its three backbones consisting of the (a) modified and atrous ResNet-50-M, (b) default atrous ResNet-50-A in DeepLabV3+, and (c) non-atrous ResNet-50-N. Similar results on the validation-set with the three networks are given in Supplementary Material 1. DCNN, deep convolutionalneural network; DENSE, displacement encoding with stimulated echoes; LV, left-ventricular;ROC, receiver operating characteristic.