DocumentCode
1928891
Title
Clinical X-Ray Image Based Tooth Decay Diagnosis using SVM
Author
Li, Wei ; Kuang, Wei ; Li, Yun ; Li, Yu-jing ; Ye, Wei-ping
Author_Institution
Beijing Normal Univ., Beijing
Volume
3
fYear
2007
fDate
19-22 Aug. 2007
Firstpage
1616
Lastpage
1619
Abstract
Automatic tooth decay diagnosis achieved the satisfying results on the extracted tooth diagnosis by rule-based system and Artificial Neural Network (ANN). This paper, focusing on clinical tooth decay detection, introduces a Support Vector Machine (SVM) based diagnosis method. For comparison, an additional back propagation neural network (BPNN) tooth decay diagnosis experiment is reported. Comparative results indicate that SVM based method gives better performance than the one BPNN based.
Keywords
backpropagation; image processing; neural nets; support vector machines; artificial neural network; back propagation neural network; clinical x-ray image; support vector machine; tooth decay diagnosis; Artificial neural networks; Cybernetics; Dentistry; Feature extraction; Image analysis; Machine learning; Support vector machine classification; Support vector machines; Teeth; X-ray imaging; BPNN; Clinical X-ray image; SVM; Tooth decay diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2007 International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-0973-0
Electronic_ISBN
978-1-4244-0973-0
Type
conf
DOI
10.1109/ICMLC.2007.4370404
Filename
4370404
Link To Document