Using expert-derived convexity and simplicity thresholds, the larger U-Net is shown to produce more anatomically implausible cardiac segmentations despite better Dice and distance scores.
Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography
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Deep Learning Segmentation in 2D echocardiography using the CAMUS dataset : Automatic Assessment of the Anatomical Shape Validity
Using expert-derived convexity and simplicity thresholds, the larger U-Net is shown to produce more anatomically implausible cardiac segmentations despite better Dice and distance scores.