Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm
المؤلفون المشاركون
Ansarimoghaddam, Somayeh
Naebi, Mohammad
Saberi, Eshaghali
Risbaf Fakour, Sirous
Naebi, Ahmad
Hosseini Tabatabaei, Somayeh
Bozorgmehr, Elham
Davtalab Behnam, Nasim
Azimi, Hamidreza
المصدر
International Journal of Dentistry
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-04-26
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Background/Purpose.
In terms of the detection of tooth diagnosis, no intelligent detection has been done up till now.
Dentists just look at images and then they can detect the diagnosis position in tooth based on their experiences.
Using new technologies, scientists will implement detection and repair of tooth diagnosis intelligently.
In this paper, we have introduced one intelligent method for detection using particle swarm optimization (PSO) and our mathematical formulation.
This method was applied to 2D special images.
Using developing of our method, we can detect tooth diagnosis for all of 2D and 3D images.
Materials and Methods.
In recent years, it is possible to implement intelligent processing of images by high efficiency optimization algorithms in many applications especially for detection of dental caries and restoration without human intervention.
In the present work, we explain PSO algorithm with our detection formula for detection of dental caries and restoration.
Also image processing helped us to implement our method.
And to do so, pictures taken by digital radiography systems of tooth are used.
Results and Conclusion.
We implement some mathematics formula for fitness of PSO.
Our results show that this method can detect dental caries and restoration in digital radiography pictures with the good convergence.
In fact, the error rate of this method was 8%, so that it can be implemented for detection of dental caries and restoration.
Using some parameters, it is possible that the error rate can be even reduced below 0.5%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Naebi, Mohammad& Saberi, Eshaghali& Risbaf Fakour, Sirous& Naebi, Ahmad& Hosseini Tabatabaei, Somayeh& Ansarimoghaddam, Somayeh…[et al.]. 2016. Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm. International Journal of Dentistry،Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1105621
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Naebi, Mohammad…[et al.]. Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm. International Journal of Dentistry No. 2016 (2016), pp.1-7.
https://search.emarefa.net/detail/BIM-1105621
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Naebi, Mohammad& Saberi, Eshaghali& Risbaf Fakour, Sirous& Naebi, Ahmad& Hosseini Tabatabaei, Somayeh& Ansarimoghaddam, Somayeh…[et al.]. Detection of Carious Lesions and Restorations Using Particle Swarm Optimization Algorithm. International Journal of Dentistry. 2016. Vol. 2016, no. 2016, pp.1-7.
https://search.emarefa.net/detail/BIM-1105621
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1105621
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر