End-to-end pipeline for 3D CBCT dental segmentation using nnU-Net v2 with pretrained weights. Accepts .mha, .nii, .nii.gz, and DICOM inputs. Outputs per-tooth segmentation masks with an interactive ...

ToothXpert is a multimodal AI model for comprehensive dental X-ray (OPG) analysis, combining vision and language understanding for automatic diagnosis and condition detection ...

Abstract: Achieving high-accuracy tooth instance segmentation in Cone Beam Computed Tomography (CBCT) images is critical for orthodontic preoperative planning and clinical research. However, existing ...

Abstract: Three-dimensional cone-beam computed tomography (3D CBCT) tooth segmentation is a crucial step in modern digital dentistry and plays an important role in various applications, such as ...