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.
Deep learning.Nature, 521(7553):436–444, May 2015
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.