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

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 diagnostic resu...

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Detalles Bibliográficos
Autores principales: Hu, Ziyang, Cao, Dantong, Hu, Yanni, Wang, Baixin, Zhang, Yifan, Tang, Rong, Zhuang, Jia, Gao, Antian, Chen, Ying, Lin, Zitong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446797/
https://www.ncbi.nlm.nih.gov/pubmed/36064682
http://dx.doi.org/10.1186/s12903-022-02422-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9446797/
https://www.ncbi.nlm.nih.gov/pubmed/36064682
http://dx.doi.org/10.1186/s12903-022-02422-9

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