3 papers
cs.CV2026
B-Spline Embedded Structure Learning for 3D Tooth Segmentation
Xianghan Wei, Jianwen Lou, Zhiguo Lu +2
Accurate 3D tooth segmentation forms the cornerstone of digital dentistry, yet it remains a formidable challenge due to the inherent intricacy of real-world dentitions, such as cro…
cs.CV2025
3DTeethSAM: Taming SAM2 for 3D Teeth Segmentation
Zhiguo Lu, Jianwen Lou, Mingjun Ma +3
3D teeth segmentation, involving the localization of tooth instances and their semantic categorization in 3D dental models, is a critical yet challenging task in digital dentistry…
cs.CV2025
Detecting Dental Landmarks from Intraoral 3D Scans: the 3DTeethLand challenge
Achraf Ben-Hamadou, Nour Neifar, Ahmed Rekik +23
Teeth landmark detection is a key task in modern orthodontics, supporting advanced diagnosis, personalized treatment planning, and effective monitoring of treatment progress. Howev…