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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Bibliografske podrobnosti
izdano v: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
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Article
Online dostop: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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