Standard 3D U-Net remains a strong baseline for multi-compartment cardiac segmentation, with handcrafted shape priors yielding at best marginal or negative effects on MM-WHS CT and WHS++ datasets.
A generalized solution of the orthogonal procrustes problem.Psychome- trika, 31:1–10
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Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation
Standard 3D U-Net remains a strong baseline for multi-compartment cardiac segmentation, with handcrafted shape priors yielding at best marginal or negative effects on MM-WHS CT and WHS++ datasets.