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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Bibliographic Details
Published in: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.
Format: Artigo
Language:Inglês
Published: MDPI 2020
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Online Access: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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