Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks

Classification of Approximal Caries in Bitewing Radiographs Using Convolutional Neural Networks

Dental caries is an extremely common problem in dentistry that affects a significant part of the population. Approximal caries are especially difficult to identify because their position makes clinical analysis difficult. Radiographic evaluation—more specifically, bitewing images—are mostly used in...

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Bibliographic Details
Main Authors: Maira Moran, Marcelo Faria, Gilson Giraldi, Luciana Bastos, Larissa Oliveira, Aura Conci
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
bitewing radiography
neural networks
artificial intelligence
caries
dental radiography
diagnosis
Online Access:https://www.mdpi.com/1424-8220/21/15/5192

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