GEPAR3D combines a statistical-shape-model prior and 3D deep watershed energy maps to segment teeth and root apices in CBCT, reaching 95.0% average Dice across external test sets.
IEEE Transactions on Medical Imaging (2024)
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GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation
GEPAR3D combines a statistical-shape-model prior and 3D deep watershed energy maps to segment teeth and root apices in CBCT, reaching 95.0% average Dice across external test sets.