A topology-constrained 8-bit quantized nnUNet with connected-component, adjacency, and hole penalties reduces topological errors in tooth segmentation compared to standard quantization.
Latent anomaly detection: Masked VQ -GAN for unsupervised segmentation in medical CBCT
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Topology-Constrained Quantized nnUNet for Efficient and Anatomically Accurate 3D Tooth Segmentation
A topology-constrained 8-bit quantized nnUNet with connected-component, adjacency, and hole penalties reduces topological errors in tooth segmentation compared to standard quantization.