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...
Main Authors: | Anne Schlickenrieder, Ole Meyer, Jule Schönewolf, Paula Engels, Reinhard Hickel, Volker Gruhn, Marc Hesenius, Jan Kühnisch |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
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Series: | Diagnostics |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4418/11/9/1608 |
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