Deep Learning for Caries Detection and Classification

Objectives: Deep learning methods have achieved impressive diagnostic performance in the field of radiology. The current study aimed to use deep learning methods to detect caries lesions, classify different radiographic extensions on panoramic films, and compare the classification results with those...

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Detalles Bibliográficos
Autores principales: Lian, Luya, Zhu, Tianer, Zhu, Fudong, Zhu, Haihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469830/
https://www.ncbi.nlm.nih.gov/pubmed/34574013
http://dx.doi.org/10.3390/diagnostics11091672

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8469830/
https://www.ncbi.nlm.nih.gov/pubmed/34574013
http://dx.doi.org/10.3390/diagnostics11091672

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