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

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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Bibliographic Details
Main Authors: Duc Long Duong, Quoc Duy Nam Nguyen, Minh Son Tong, Manh Tuan Vu, Joseph Dy Lim, Rong Fu Kuo
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
caries detection
occlusal caries
feature selection
machine learning
support vector machine
digital imaging
Online Access:https://www.mdpi.com/2075-4418/11/7/1136

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