A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images
An automated methodology for the diagnosis of occlusal caries is presented. Methodology can be a support to the dentists for making the final decision. Methodology is based on digital photography analysis. Methodology can incorporate new knowledge on caries diagnosis. Detection and classification (7 ICDAS classes) accuracy is 80% and 83%, respectively.
classification occlusal caries caries diagnosis icdas ii segmentation feature extraction feature selection random forests digital imaging