Fig. 3From: Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networksSegmentation inference examples, 2D vs 2D + time nnU-Net. Examples of end-diastolic short-axis (SAx) and long-axis (LAx) segmentation results on cases from an independent test set. For each case, 2D (middle column) and 2D + time (right column) segmentation maps are compared. The left column shows the corresponding end-systolic frame, showing better blood-to-myocardium contrastBack to article page