Now showing items 1-3 of 3

    • Classification of Caries X-Ray Images using Multilayer Perceptron Models Based Shape Features 

      Jusman, Yessi; Widyaningrum, Anna; Tyassari, Wikan; Puspita, Sartika; Saleh, Edwyn (2022)
      Dental caries is one of the diseases that are often experienced by society, one way to detect it by taking pictures using Computed Radiography technology. The aim of this study was to develop a method of classifying dental ...
    • Comparison of Dental Caries Level Images Classification Performance using KNN and SVM Methods 

      Jusman, Yessi; Anam, Muhammad Khoirul; Puspita, Sartika; Saleh, Edwyn; Kanafiah, Siti Nurul Aqmariah Mohd; Tamarena, Rhesezia Intan (IEEE, 2021)
      This study aims to build a dental caries level classification system based on image processing (i.e. to extract texture features) and machine learning methods. The first step was to analyze and discover the extraction ...
    • Machine Learnings of Dental Caries Images based on Hu Moment Invariants Features 

      Jusman, Yessi; Anam, Muhammad Khoirul; Puspita, Sartika; Saleh, Edwyn (International Seminar on Application for Technology of Information and Communication (iSemantic), 2021)
      Dental caries generally occurs due to consuming foods containing carbohydrates, such as sucrose, and rarely brushing teeth, thus causing gradual damage to the layers and structures of the teeth. This study aims to build a ...