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

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
Main Authors: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim Lakhani, Max Heiland, Robert A. Gaudin
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Diagnostics
Subjects:
artificial intelligence
diagnosis
computer-assisted
image interpretation
machine learning
Online Access:https://www.mdpi.com/2075-4418/10/6/430

Internet

https://www.mdpi.com/2075-4418/10/6/430

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