Automated Mesiodens Classification System Using Deep Learning on Panoramic Radiographs of Children

In this study, we aimed to develop and evaluate the performance of deep-learning models that automatically classify mesiodens in primary or mixed dentition panoramic radiographs. Panoramic radiographs of 550 patients with mesiodens and 550 patients without mesiodens were used. Primary or mixed denti...

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Detalles Bibliográficos
Autores principales: Ahn, Younghyun, Hwang, Jae Joon, Jung, Yun-Hoa, Jeong, Taesung, Shin, Jonghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394484/
https://www.ncbi.nlm.nih.gov/pubmed/34441411
http://dx.doi.org/10.3390/diagnostics11081477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394484/
https://www.ncbi.nlm.nih.gov/pubmed/34441411
http://dx.doi.org/10.3390/diagnostics11081477

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