Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts and tumors. In this study, we seek to investigate the ability with which 24 oral and maxil...

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Detalles Bibliográficos
Autores principales: Endres, Michael G., Hillen, Florian, Salloumis, Marios, Sedaghat, Ahmad R., Niehues, Stefan M., Quatela, Olivia, Hanken, Henning, Smeets, Ralf, Beck-Broichsitter, Benedicta, Rendenbach, Carsten, Lakhani, Karim, Heiland, Max, Gaudin, Robert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344682/
https://www.ncbi.nlm.nih.gov/pubmed/32599942
http://dx.doi.org/10.3390/diagnostics10060430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344682/
https://www.ncbi.nlm.nih.gov/pubmed/32599942
http://dx.doi.org/10.3390/diagnostics10060430

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