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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Detalhes bibliográficos
Publicado no:Diagnostics (Basel)
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: MDPI 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7344682/
https://ncbi.nlm.nih.gov/pubmed/32599942
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10060430
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