A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT images is an essential step in digital dentistry for precision dental healthcare. Here, the authors present a deep learning system for efficient, precise, and fully automatic segmentation of real-patient CBCT images...
Main Authors: | Zhiming Cui, Yu Fang, Lanzhuju Mei, Bojun Zhang, Bo Yu, Jiameng Liu, Caiwen Jiang, Yuhang Sun, Lei Ma, Jiawei Huang, Yang Liu, Yue Zhao, Chunfeng Lian, Zhongxiang Ding, Min Zhu, Dinggang Shen |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-04-01
|
Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-29637-2 |
Similar Items
-
Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images
by: Yu Liu, et al.
Published: (2024-05-01) -
Automated CNN-Based Tooth Segmentation in Cone-Beam CT for Dental Implant Planning
by: S. Lee, et al.
Published: (2020-01-01) -
Application of cone beam CT in evaluating the bone defect volume in alveolar cleft
by: HE Jin-quan, et al.
Published: (2016-05-01) -
Age-related changes of alveolar bone in maxillary posterior based on cone-beam CT
by: ZHAO Meng, et al.
Published: (2024-10-01) -
Evaluation of Inferior Alveolar Canal and its Variations using Cone Beam CT-scan
by: Manisha Laxmanbhai Chaudhary, et al.
Published: (2018-01-01)