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Dental Diagnosis From X-Ray Images Using Fuzzy Rule-Based Systems

Dental Diagnosis From X-Ray Images Using Fuzzy Rule-Based Systems

Tran Manh Tuan, Nguyen Thanh Duc, Pham Van Hai, Le Hoang Son
Copyright: © 2017 |Pages: 16
ISBN13: 9781522519034|ISBN10: 1522519033|EISBN13: 9781522519041
DOI: 10.4018/978-1-5225-1903-4.ch007
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MLA

Tuan, Tran Manh, et al. "Dental Diagnosis From X-Ray Images Using Fuzzy Rule-Based Systems." Oral Healthcare and Technologies: Breakthroughs in Research and Practice, edited by Information Resources Management Association, IGI Global, 2017, pp. 313-328. https://doi.org/10.4018/978-1-5225-1903-4.ch007

APA

Tuan, T. M., Duc, N. T., Van Hai, P., & Son, L. H. (2017). Dental Diagnosis From X-Ray Images Using Fuzzy Rule-Based Systems. In I. Management Association (Ed.), Oral Healthcare and Technologies: Breakthroughs in Research and Practice (pp. 313-328). IGI Global. https://doi.org/10.4018/978-1-5225-1903-4.ch007

Chicago

Tuan, Tran Manh, et al. "Dental Diagnosis From X-Ray Images Using Fuzzy Rule-Based Systems." In Oral Healthcare and Technologies: Breakthroughs in Research and Practice, edited by Information Resources Management Association, 313-328. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1903-4.ch007

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Abstract

In practical dentistry, dentists use their experience to examine dental X-ray images and to derive symptoms from patients for concluding possible diseases. This method is based solely on the own dentists' experience. Dental diagnosis from X-Ray images is proposed to support for dentists in their decision making. This paper presents an application of consultant system for dental diagnosis from X-Ray images based on fuzzy rule. Fuzzy rule was applied in many applications and has important role in computational intelligence, data mining, machine learning, etc. Based on a dental X-ray image dataset, we use Fuzzy C-Means to classify them into clusters and construct the rule set. Fuzzy Inference System is then used to evaluate the rules by three validity indices. These rules accompanied with symptoms from patients help dentists in diagnosing dental diseases. This method is implemented and experimentally validated on the real dataset of Hanoi Medical University Hospital, Vietnam against the related algorithms.

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