DocumentCode :
122626
Title :
Diagnosis and interpretation of dental X-ray in case of deciduous tooth extraction decision in children using active contour model and J48 tree
Author :
Nuansanong, Juthamas ; Kiattisin, Supapom ; Leelasantitham, Adisom
Author_Institution :
Technol. of Inf. Syst. Manage. Program, Mahidol Univ., Nakorn Pathom, Thailand
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
4
Abstract :
Normally, children suffer from a tooth eruption because their permanent teeth do not push their ways through the gums; therefore, dentist will need to diagnose dental X-ray image based on characteristics of the gap between deciduous teeth and permanent teeth. This paper proposes image processing based on Active Contour Model and data mining for analyzing the ratio of teeth´s gap area. In addition, the experiment relates to medical knowledge so as to evaluate the treatment. The results show that the ratio of teeth´s gap area in a case of extraction is 20 ± 5 and tooth extraction decision in expert´s way is 78 ± 7%. In a case of no extraction, the ratio of teeth´s gap area is 40 ± 4.5 and tooth extraction decision in expert´s way is 60 ± 6%. Therefore, if the teeth´s gap area between the deciduous teeth and the permanent teeth is small, then an occasion of the tooth extraction will be higher. The decision to retain or extract a questionable tooth is one that occurs frequently in dental practice. There are many factors to consider when making this decision. Some cases are very straightforward while others fall into an unclear area of decision-making. This proposed method creates the decision model supported for the dental tooth extraction using J48 tree, and the accuracy is approximately at 98%.
Keywords :
data mining; decision making; dentistry; diagnostic radiography; image segmentation; medical image processing; paediatrics; patient treatment; J48 tree; active contour model; children; data mining; deciduous tooth extraction decision; decision-making; dental X-ray image diagnosis; dental tooth extraction; gums; image processing; teeth; tooth eruption; tooth extraction decision; Accuracy; Analytical models; Image edge detection; Active Contour Model; J48 Tree; children; deciduous tooth; decision; dental X-ray image; tooth extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
Type :
conf
DOI :
10.1109/iEECON.2014.6925902
Filename :
6925902
Link To Document :
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