Detection of occlusal caries based on digital image processing

Georgia D. Koutsouri; Elias Berdouses; Evanthia E. Tripoliti; Constantine Oulis; Dimitrios I. Fotiadis

doi:10.1109/BIBE.2013.6701708

Detection of occlusal caries based on digital image processing

Georgia D. Koutsouri
, Elias Berdouses
, Evanthia E. Tripoliti
, Constantine Oulis
, Dimitrios I. Fotiadis

National Technical University of Athens
National and Kapodistrian University of Athens
University of Ioannina

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

19 Scopus citations

Abstract

The aim of this work is to present an automated non supervised method for the detection of occlusal caries based on photographic color images. The proposed method consists of three steps: (a) detection of decalcification areas, (b) detection of occlusal caries areas, and (c) fusion of the results. The detection process includes pre-processing of the images, segmentation and post-processing, where objects not corresponding to areas of interest are eliminated through the utilization of rules expressing the medical knowledge. The preprocessing, segmentation and post-processing are differentiated depending on the areas that have to be detected (decalcification or occlusal areas). The method was evaluated using a set of 60 images where 286 areas of interest were manually segmented by an expert. The obtained sensitivity and precision is 92% and 80%, respectively.

Original language	English
Title of host publication	13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013
DOIs	https://doi.org/10.1109/BIBE.2013.6701708
State	Published - 2013
Externally published	Yes
Event	13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 - Chania, Greece Duration: 10 Nov 2013 → 13 Nov 2013

Publication series

Name	13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013

Conference

Conference	13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013
Country/Territory	Greece
City	Chania
Period	10/11/13 → 13/11/13

Access to Document

10.1109/BIBE.2013.6701708

Cite this

Koutsouri, G. D., Berdouses, E., Tripoliti, E. E., Oulis, C., & Fotiadis, D. I. (2013). Detection of occlusal caries based on digital image processing. In 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 Article 6701708 (13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013). https://doi.org/10.1109/BIBE.2013.6701708

@inproceedings{95fca80733bd4ddeb5e8b1d83461d65e,

title = "Detection of occlusal caries based on digital image processing",

abstract = "The aim of this work is to present an automated non supervised method for the detection of occlusal caries based on photographic color images. The proposed method consists of three steps: (a) detection of decalcification areas, (b) detection of occlusal caries areas, and (c) fusion of the results. The detection process includes pre-processing of the images, segmentation and post-processing, where objects not corresponding to areas of interest are eliminated through the utilization of rules expressing the medical knowledge. The preprocessing, segmentation and post-processing are differentiated depending on the areas that have to be detected (decalcification or occlusal areas). The method was evaluated using a set of 60 images where 286 areas of interest were manually segmented by an expert. The obtained sensitivity and precision is 92\% and 80\%, respectively.",

author = "Koutsouri, \{Georgia D.\} and Elias Berdouses and Tripoliti, \{Evanthia E.\} and Constantine Oulis and Fotiadis, \{Dimitrios I.\}",

year = "2013",

doi = "10.1109/BIBE.2013.6701708",

language = "English",

isbn = "9781479931637",

series = "13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013",

booktitle = "13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013",

note = "13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 ; Conference date: 10-11-2013 Through 13-11-2013",

}

Koutsouri, GD, Berdouses, E, Tripoliti, EE, Oulis, C & Fotiadis, DI 2013, Detection of occlusal caries based on digital image processing. in 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013., 6701708, 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013, 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013, Chania, Greece, 10/11/13. https://doi.org/10.1109/BIBE.2013.6701708

Detection of occlusal caries based on digital image processing. / Koutsouri, Georgia D.; Berdouses, Elias; Tripoliti, Evanthia E. et al.
13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013. 2013. 6701708 (13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Detection of occlusal caries based on digital image processing

AU - Koutsouri, Georgia D.

AU - Berdouses, Elias

AU - Tripoliti, Evanthia E.

AU - Oulis, Constantine

AU - Fotiadis, Dimitrios I.

PY - 2013

Y1 - 2013

N2 - The aim of this work is to present an automated non supervised method for the detection of occlusal caries based on photographic color images. The proposed method consists of three steps: (a) detection of decalcification areas, (b) detection of occlusal caries areas, and (c) fusion of the results. The detection process includes pre-processing of the images, segmentation and post-processing, where objects not corresponding to areas of interest are eliminated through the utilization of rules expressing the medical knowledge. The preprocessing, segmentation and post-processing are differentiated depending on the areas that have to be detected (decalcification or occlusal areas). The method was evaluated using a set of 60 images where 286 areas of interest were manually segmented by an expert. The obtained sensitivity and precision is 92% and 80%, respectively.

AB - The aim of this work is to present an automated non supervised method for the detection of occlusal caries based on photographic color images. The proposed method consists of three steps: (a) detection of decalcification areas, (b) detection of occlusal caries areas, and (c) fusion of the results. The detection process includes pre-processing of the images, segmentation and post-processing, where objects not corresponding to areas of interest are eliminated through the utilization of rules expressing the medical knowledge. The preprocessing, segmentation and post-processing are differentiated depending on the areas that have to be detected (decalcification or occlusal areas). The method was evaluated using a set of 60 images where 286 areas of interest were manually segmented by an expert. The obtained sensitivity and precision is 92% and 80%, respectively.

UR - https://www.scopus.com/pages/publications/84894198733

U2 - 10.1109/BIBE.2013.6701708

DO - 10.1109/BIBE.2013.6701708

M3 - Conference contribution

AN - SCOPUS:84894198733

SN - 9781479931637

T3 - 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013

BT - 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013

T2 - 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013

Y2 - 10 November 2013 through 13 November 2013

ER -

Detection of occlusal caries based on digital image processing

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this