  We recently published a deep learning study on the potential of
encoder-decoder networks for the segmentation of the 2D CAMUS ultrasound
dataset. We propose in this abstract an extension of the evaluation criteria to
anatomical assessment, as traditional geometric and clinical metrics in cardiac
segmentation do not take into account the anatomical correctness of the
predicted shapes. The completed study sheds a new light on the ranking of
models.
