A simple dental caries detection system using full spectrum of laser-induced fluorescence

2015 ◽  
Author(s):  
Renata Maciel Rocha-Cabral ◽  
Fausto Medeiros Mendes ◽  
Edison Puig Maldonado ◽  
Denise Maria Zezell
Keyword(s):  
Dental Caries ◽  
Detection System ◽  
Laser Induced Fluorescence ◽  
Caries Detection ◽  
Full Spectrum

A Web-based Dental Caries Detection System Using Image Recognition and Deep Learning with SUS and UTAUT Analysis

2021 ◽  
Author(s):  
Mary Jane Samonte ◽  
Denzel Dy Po ◽  
Lance Alfred Quito ◽  
Samantha Lace Villanueva
Keyword(s):  
Deep Learning ◽  
Dental Caries ◽  
Image Recognition ◽  
Detection System ◽  
Caries Detection ◽  
Web Based

Computer-Aided Dental Caries Detection System from X-Ray Images

2015 ◽  
pp. 233-243 ◽  
Author(s):  
Abdolvahab Ehsani Rad ◽  
Ismail Bin Mat Amin ◽  
Mohd Shafry Mohd Rahim ◽  
Hoshang Kolivand
Keyword(s):  
Dental Caries ◽  
Detection System ◽  
Caries Detection ◽  
X Ray ◽  
Computer Aided

Improving Dental Caries Detection by Optimizing Source-Detector Localization Using Laser Diffuse Reflectance

2017 ◽  
Vol 17 (17) ◽  
pp. 1-7
Author(s):  
Ahmed Abdel Gawad ◽  
Ashraf El-Sherif ◽  
Yasser El-Sharkawy ◽  
H. Ayoub ◽  
Mahmoud Hassan
Keyword(s):  
Dental Caries ◽  
Diffuse Reflectance ◽  
Caries Detection

scholarly journals Dental caries among Finnish teenagers participating in physical activity and diet intervention: association with anthropometrics and behavioural factors

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mirja Methuen ◽  
Sofia Kauppinen ◽  
Anna Liisa Suominen ◽  
Aino-Maija Eloranta ◽  
Juuso Väistö ◽  
...  
Keyword(s):  
Physical Activity ◽  
Dental Caries ◽  
Assessment System ◽  
Carbohydrate Intake ◽  
Caries Detection ◽  
Caries Experience ◽  
Food Record ◽  
Fat Percentage ◽  
Teenage Girls ◽  
Behavioural Factors

Abstract Background An association between childhood anthropometric measurements and dental caries is conflicting. The prevalence and severity of dental caries and its association with anthropometric and behavioural factors, were investigated among Finnish teenagers. Methods The study sample comprised 202 15–17-year-old participants in the Physical Activity and Nutrition in Children (PANIC) Study. Dental caries findings were recorded using International Caries Detection and Assessment System (ICDAS) criteria, including activity estimation; numbers of decayed teeth (DT) and decayed, missing and filled teeth (DMFT) were recorded. Body weight, height and waist circumference were measured and respective body mass index (BMI) was calculated. Body fat percentage was assessed by dual-energy X-ray absorptiometry. Health-related behaviours and consumption of food and drinks were assessed using questionnaires, and intake of nutrients using a 4-day food record. Results Mean DMFT for all the participants was 2.4 (SD = 2.9), DT 0.6 (SD = 1.3), and 36% had DMFT = 0. No difference between genders was observed. In bivariate analyses, use of sugar-sweetened beverages (SSB) three times or less per week and not having used snuff associated significantly, whereas higher carbohydrate intake (E%), toothbrushing less often than twice a day and higher caries experience at baseline almost significantly with DT > 0. In adjusted regression analyses, frequent use of SSB and higher carbohydrate intake increased the odds for DT > 0. Additionally, higher carbohydrate intake (E%) and infrequent tooth brushing significantly associated with a higher number of DT. Conclusion Caries prevalence is still low and similar in Finnish teenage girls and boys. Behavioural factors are, but anthropometric factors are not associated with dental caries.

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

Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1136
Author(s):  
Duc Long Duong ◽  
Quoc Duy Nam Nguyen ◽  
Minh Son Tong ◽  
Manh Tuan Vu ◽  
Joseph Dy Lim ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Dental Caries ◽  
Sensitivity And Specificity ◽  
Color Images ◽  
Caries Detection ◽  
Support Vector ◽  
Proof Of Concept ◽  
Computational System ◽  
Occlusal Caries ◽  
Concept Study

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 that can detect early occlusal caries from smartphone color images of unrestored extracted teeth according to modified International Caries Detection and Assessment System (ICDAS) criteria (3 classes: Code 0; Code 1-2; Code 3-6): in the first stage, carious lesion areas were identified and extracted from sound tooth regions. Then, five characteristic features of these areas were intendedly selected and calculated to be inputted into the classification stage, where five classifiers (Support Vector Machine, Random Forests, K-Nearest Neighbors, Gradient Boosted Tree, Logistic Regression) were evaluated to determine the best one among them. On a set of 587 smartphone images of extracted teeth, our system achieved accuracy, sensitivity, and specificity that were 87.39%, 89.88%, and 68.86% in the detection stage when compared to modified visual and image-based ICDAS criteria. For the classification stage, the Support Vector Machine model was recorded as the best model with accuracy, sensitivity, and specificity at 88.76%, 92.31%, and 85.21%. As the first step in developing the technology, our present findings confirm the feasibility of using smartphone color images to employ Artificial Intelligence algorithms in caries detection. To improve the performance of the proposed system, there is a need for further development in both in vitro and in vivo modeling. Besides that, an applicable system for accurately taking intra-oral images that can capture entire dental arches including the occlusal surfaces of premolars and molars also needs to be developed.

Status and opportunities for future use of terahertz radiation for clinical applications

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Carlos Gerardo Trevino-Palacios
Keyword(s):  
Skin Cancer ◽  
Dental Caries ◽  
Cancer Detection ◽  
Terahertz Radiation ◽  
Clinical Applications ◽  
Caries Detection ◽  
Medical Applications ◽  
Fundamental Limitations ◽  
Pharmaceutical Screening ◽  
Skin Cancer Detection

Abstract:An overview of terahertz (THz) development is presented in view of possible medical applications, including details of the current technologies which could be effectively used. Although no clinical THz technologies are currently in use, its principal applicability has been already demonstrated in skin cancer detection and treatment, dental caries detection and pharmaceutical screening. Fundamental limitations of THz studies are highlighted which have to be overcome before clinical applications can be realized.

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