A deep learning approach to permanent tooth germ detection on pediatric panoramic radiographs

PURPOSE: The aim of this study was to assess the performance of a deep learning system for permanent tooth germ detection on pediatric panoramic radiographs. MATERIALS AND METHODS: In total, 4518 anonymized panoramic radiographs of children between 5 and 13 years of age were collected. YOLOv4, a con...

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Detalles Bibliográficos
Autores principales: Kaya, Emine, Gunec, Huseyin Gurkan, Aydin, Kader Cesur, Urkmez, Elif Seyda, Duranay, Recep, Ates, Hasan Fehmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Oral and Maxillofacial Radiology 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530294/
https://www.ncbi.nlm.nih.gov/pubmed/36238699
http://dx.doi.org/10.5624/isd.20220050

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9530294/
https://www.ncbi.nlm.nih.gov/pubmed/36238699
http://dx.doi.org/10.5624/isd.20220050

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