Cargando…
Caries detection with tooth surface segmentation on intraoral photographic images using deep learning
BACKGROUND: Intraoral photographic images are helpful in the clinical diagnosis of caries. Moreover, the application of artificial intelligence to these images has been attempted consistently. This study aimed to evaluate a deep learning algorithm for caries detection through the segmentation of the...
Autores principales: | Park, Eun Young, Cho, Hyeonrae, Kang, Sohee, Jeong, Sungmoon, Kim, Eun-Kyong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9730679/ https://www.ncbi.nlm.nih.gov/pubmed/36476359 http://dx.doi.org/10.1186/s12903-022-02589-1 |
Ejemplares similares
-
Hyperparameter Tuning and Automatic Image Augmentation for Deep Learning-Based Angle Classification on Intraoral Photographs—A Retrospective Study
por: Cejudo Grano de Oro, José Eduardo, et al.
Publicado: (2022) -
Caries Detection on Intraoral Images Using Artificial Intelligence
por: Kühnisch, J., et al.
Publicado: (2021) -
Validity and Reliability of Intraoral and Plaster Models’ Photographs in the Assessment of Little's Irregularity Index, Tooth Size-Arch Length Discrepancy, and Bolton's Analysis
por: Alrasheed, Wael A, et al.
Publicado: (2022) -
Benchmarking Deep Learning Models for Tooth Structure
Segmentation
por: Schneider, L., et al.
Publicado: (2022) -
Accuracy of the Intraoral Scanner for Detection of Tooth Wear
por: Mitrirattanakul, Somsak, et al.
Publicado: (2022)