CLINICAL X-RAY IMAGE BASED TOOTH DECAY DIAGNOSIS USING SVM

摘要：

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.

关键词： SVM Clinical X-ray image Tooth decay diagnosis BPNN

作者: WEI LI WEI KUANG YUN LI YU-JING LI WEI-PING YE

作者单位: Department of Information Science and Technology, Beijing Normal University, Beijing, 100875, China Department of Operative Dentistry and Endodontics Faculty of Stomatology, Capital University of Medical Sciences, Beijing, 100050, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1616-1619

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）