Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images

Diagnosis of in vivo vertical root fracture using deep learning on cone-beam CT images

Abstract Objectives Evaluating the diagnostic efficiency of deep learning models to diagnose vertical root fracture in vivo on cone-beam CT (CBCT) images. Materials and methods The CBCT images of 276 teeth (138 VRF teeth and 138 non-VRF teeth) were enrolled and analyzed retrospectively. The diagnost...

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Bibliographic Details
Main Authors: Ziyang Hu, Dantong Cao, Yanni Hu, Baixin Wang, Yifan Zhang, Rong Tang, Jia Zhuang, Antian Gao, Ying Chen, Zitong Lin
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Oral Health
Subjects:
Artificial intelligence, cone-beam computed tomography, deep learning
Neural networks (computer)
Root fractures
Online Access:https://doi.org/10.1186/s12903-022-02422-9

Internet

https://doi.org/10.1186/s12903-022-02422-9

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