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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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Principais autores: Maira Moran, Marcelo Faria, Gilson Giraldi, Luciana Bastos, Larissa Oliveira, Aura Conci
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2021-07-01
Serier:Sensors
Fag:
bitewing radiography
neural networks
artificial intelligence
caries
dental radiography
diagnosis
Online adgang:https://www.mdpi.com/1424-8220/21/15/5192
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