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...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Xiujiao, Hong, Dengwei, Zhang, Dong, Huang, Mingyi, Yu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139265/
https://www.ncbi.nlm.nih.gov/pubmed/35626203
http://dx.doi.org/10.3390/diagnostics12051047

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9139265/
https://www.ncbi.nlm.nih.gov/pubmed/35626203
http://dx.doi.org/10.3390/diagnostics12051047

Ejemplares similares