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Fig. 4 | Journal of Cardiovascular Magnetic Resonance

Fig. 4

From: Automated segmentation of long and short axis DENSE cardiovascular magnetic resonance for myocardial strain analysis using spatio-temporal convolutional neural networks

Fig. 4

Segmentation inference examples, 2D + time DynU-Net. Examples of short-axis (SAx) and long-axis (LAx) segmentation results on cases from an independent test set. For each case, the bottom row contains inference examples of worst performance at end-diastole (left column) and end-systole (right column), while the top row contains inference examples with top performance, more typical

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