A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

Cui, Zhiming; Fang, Yu; Mei, Lanzhuju; Zhang, Bojun; Yu, Bo; Liu, Jiameng; Jiang, Caiwen; Sun, Yuhang; Ma, Lei; Huang, Jiawei; Liu, Yang; Zhao, Yue; Lian, Chunfeng; Ding, Zhongxiang; Zhu, Min; Shen, Dinggang

doi:10.1038/s41467-022-29637-2

Public

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

Published in Nature Communications • Apr 19, 2022

Authors:

Zhiming Cui

Yu Fang

Lanzhuju Mei

Abstract

Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT (CBCT) images is an essential step in digital dentistry for precision dental healthcare. In this paper, we present an AI system for efficient, precise, and fully automatic segmentation of real-patient CBCT images. O...

Subject

Segmentation

Computer science

Cone beam ct

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