Automatized Detection and Categorization of Fissure Sealants from Intraoral Digital Photographs Using Artificial Intelligence

Automatized Detection and Categorization of Fissure Sealants from Intraoral Digital Photographs Using Artificial Intelligence

The aim of the present study was to investigate the diagnostic performance of a trained convolutional neural network (CNN) for detecting and categorizing fissure sealants from intraoral photographs using the expert standard as reference. An image set consisting of 2352 digital photographs from perma...

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Bibliographic Details
Main Authors: Anne Schlickenrieder, Ole Meyer, Jule Schönewolf, Paula Engels, Reinhard Hickel, Volker Gruhn, Marc Hesenius, Jan Kühnisch
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
pit and fissure sealants
caries assessment
visual examination
clinical evaluation
artificial intelligence
convolutional neural networks
Online Access:https://www.mdpi.com/2075-4418/11/9/1608

Internet

https://www.mdpi.com/2075-4418/11/9/1608

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