Automatic detection of periodontal compromised teeth in digital panoramic radiographs using faster regional convolutional neural networks

PURPOSE: Periodontal disease causes tooth loss and is associated with cardiovascular diseases, diabetes, and rheumatoid arthritis. The present study proposes using a deep learning-based object detection method to identify periodontally compromised teeth on digital panoramic radiographs. A faster reg...

Descripción completa

Detalles Bibliográficos
Autores principales: Thanathornwong, Bhornsawan, Suebnukarn, Siriwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Academy of Oral and Maxillofacial Radiology 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314603/
https://www.ncbi.nlm.nih.gov/pubmed/32601592
http://dx.doi.org/10.5624/isd.2020.50.2.169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7314603/
https://www.ncbi.nlm.nih.gov/pubmed/32601592
http://dx.doi.org/10.5624/isd.2020.50.2.169

Ejemplares similares