A combination of fuzzy positioned dental X-ray analysis model to presume the peculiar images. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Buhari, M. P. A.; Mohideen, S. K.
• Is Part Of: International journal of computers and applications. Volume 42:Issue 1(2020)
• Page Start: 17
• Page End: 22
• Publication Date: 2020-01-02
• Subjects: X-ray segmentation -- segmentation -- fuzzy classification -- spatial filtering; Computers -- Periodicals; Computer software -- Periodicals; Computer networks -- Periodicals; Multimedia systems -- Periodicals; Internet -- Periodicals; World Wide Web -- Periodicals; Minicomputers -- Periodicals; Microcomputers -- Periodicals; 004.05
• DOI: 10.1080/1206212X.2017.1396422
• Languages: English
• ISSNs: 1206-212X

Abstract

ABSTRACT: Dental X-ray segmentation is one of the most important and necessary steps to analyze the dental images for better medical diagnosis. The aim of this work is to develop an effective method for the prediction of normal and abnormal images using classification process. The hybrid fuzzy-based classification model (HFCM) includes the hybridization of Bayesian hidden morkov model and fuzzy classifier. Parameters such as accuracy, specificity, sensitivity, precision, and computational time are calculated to assess the robustness of the proposed approach.