Detecting Proximal Caries on Periapical Radiographs Using Convolutional Neural Networks with Different Training Strategies on Small Datasets

Detecting Proximal Caries on Periapical Radiographs Using Convolutional Neural Networks with Different Training Strategies on Small Datasets

The present study aimed to evaluate the performance of convolutional neural networks (CNNs) that were trained with small datasets using different strategies in the detection of proximal caries at different levels of severity on periapical radiographs. Small datasets containing 800 periapical radiogr...

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Bibliographic Details
Main Authors: Xiujiao Lin, Dengwei Hong, Dong Zhang, Mingyi Huang, Hao Yu
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Diagnostics
Subjects:
neural networks
proximal caries
training strategy
small dataset
periapical radiograph
Online Access:https://www.mdpi.com/2075-4418/12/5/1047

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