Dental Caries Detection from Color Images Using Support Vector Machine

碩士 === 國立成功大學 === 生物醫學工程學系 === 107 === In this work, several machine learning methods were studied and support vector machine (SVM) was chosen as a classifier in order to classify dental caries. We used color images of single extracted tooth and generated a feature vector (FV) from each image. Then...

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Bibliographic Details
Main Authors: Malitha HumayunKabir, 鄭翊合
Other Authors: Rong-Fu Kuo
Format: Others
Language:en_US
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/624b35