Title :
A Kernel-Modified SVM Based Computer-Aided Diagnosis System in Initial Caries
Author :
Kuang, Wei ; Ye, Weiping
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing
Abstract :
Clinical initial caries appear as no obvious difference to normal ones in X-ray images. Researchers attempt to set up computer-aided system to facilitate clinical initial caries diagnosis. This paper mainly made two efforts, image enhancement using watershed and modification of SVM kernel function. Experiments show that the testing accuracy of the kernel-modified SVM caries detection is improved compared to the former research, and the image enhancement helps dentists to find caries easier.
Keywords :
dentistry; diagnostic radiography; image enhancement; image segmentation; medical image processing; support vector machines; SVM kernel; X-ray image; clinical initial caries diagnosis; computer-aided diagnosis system; image enhancement; watershed method; Artificial neural networks; Computer aided diagnosis; Dentistry; Educational institutions; Histograms; Image enhancement; Image segmentation; Kernel; Support vector machines; Teeth; Caries detection; Kernel Modification; SVM; Watershed;
Conference_Titel :
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3497-8
DOI :
10.1109/IITA.2008.206