Histological validation of the automated caries detection system (ACDS) in classifying occlusal caries with the ICDAS II system in vitro-Reference-Cited by-同舟云学术

Histological validation of the automated caries detection system (ACDS) in classifying occlusal caries with the ICDAS II system in vitro

Published:2018-11-28 Issue:3 Volume:20 Page:249-255
ISSN:1818-6300
Container-title:European Archives of Paediatric Dentistry
language:en
Short-container-title:Eur Arch Paediatr Dent

Author:

Berdouses E. D.,Oulis C. J.,Michalaki M.,Tripoliti E. E.,Fotiadis D. I.

Publisher

Springer Science and Business Media LLC

Subject

Dentistry (miscellaneous),Pediatrics, Perinatology, and Child Health

Link

http://link.springer.com/content/pdf/10.1007/s40368-018-0389-x.pdf

Reference23 articles.

1. Berdouses ED, Koutsouri GD, Tripoliti EE, et al. A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput Biol Med. 2015;62:119–35. https://doi.org/10.1016/j.compbiomed.2015.04.016 .

2. Dental Health Foundation Ireland. Dental caries (Tooth decay). 2018. http://www.dentalhealth.ie/dentalhealth/causes/dentalcaries.html . Accessed 24 Nov 2018.

3. Downer CM. Concurrent validity of an epidemiological diagnostic system for caries with the histological appearance of extracted teeth as validating criterion. Caries Res. 1975;9:231–46.

4. Ekstrand KR, Ricketts DN, Kidd EA. Reproducibility and accuracy of three methods for assessment of demineralization depth on the occlusal surface: an in vitro examination. Caries Res. 1997;31:224–31.

5. Ekstrand KR, Ricketts DN, Kidd EA. Occlusal caries: pathology, diagnosis and logical management. Dent Update. 2001;28:380–7.

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