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Description: Teeth3DS+ is an exceptional public benchmark developed as part of the 3DTeethSeg 2022 and 3DTeethLand 2024 MICCAI challenges. This benchmark is designed to propel advancements in 3D vision research by serving as a foundation for the analysis of intraoral 3D scans. Teeth3DS+ supports a wide range of critical tasks, including teeth identification, segmentation, labeling, dental landmark detection, 3D modeling, and 3D reconstruction, aiming to inspire innovation and collaboration within the research community. The dataset includes at least 1,800 intraoral scans, encompassing 23,999 annotated teeth and approximately 30,000 landmark points (Mesial/ Distal/ Cusps..), collected from over 900 patients. These scans provide separate representations of upper and lower jaws. Each dataset entry has been acquired and validated by highly experienced orthodontists and dental surgeons with more than five years of professional expertise, ensuring exceptional annotation quality and reliability.

License: Other

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Please refer to the github repository of the project for more information about the data and the related codes. https://github.com/abenhamadou/3DTeethSeg22_challenge

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data_part_6


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3DTeethLand_landmarks_annotation

Teeth landmarks annotation related to 3DTeethLand MICCAI 2024 challenge

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data_part_7


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Tags

3D point cloud3D segmentation3DTeethSegDentistryintra-oral scanintraoral scannerIOSMICCAITeethTeeth3DS

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