Proof-of-Concept Study on an Automatic Computational System in Detecting and Classifying Occlusal Caries Lesions from Smartphone Color Images of Unrestored Extracted Teeth

Dental caries has been considered the heaviest worldwide oral health burden affecting a significant proportion of the population. To prevent dental caries, an appropriate and accurate early detection method is demanded. This proof-of-concept study aims to develop a two-stage computational system tha...

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Detalles Bibliográficos
Autores principales: Duong, Duc Long, Nguyen, Quoc Duy Nam, Tong, Minh Son, Vu, Manh Tuan, Lim, Joseph Dy, Kuo, Rong Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307588/
https://www.ncbi.nlm.nih.gov/pubmed/34206549
http://dx.doi.org/10.3390/diagnostics11071136

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307588/
https://www.ncbi.nlm.nih.gov/pubmed/34206549
http://dx.doi.org/10.3390/diagnostics11071136

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