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Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems

Author

Listed:
  • Tran Manh Tuan

    (School of Information and Communication Technology, Thai Nguyen University, Thai Nguyen, Vietnam)

  • Nguyen Thanh Duc

    (Hanoi University of Science and Technology, Hanoi, Vietnam)

  • Pham Van Hai

    (Hanoi University of Science and Technology, Hanoi, Vietnam)

  • Le Hoang Son

    (VNU University of Science, Vietnam National University, Hanoi, Vietnam)

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.

Suggested Citation

  • Tran Manh Tuan & Nguyen Thanh Duc & Pham Van Hai & Le Hoang Son, 2017. "Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 6(1), pages 1-16, January.
    • Handle: RePEc:igg:jfsa00:v:6:y:2017:i:1:p:1-16
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