Reference Hub

This research has been cited in:

Article
Automatic Segmentation of Periapical Radiograph Using Color Histogram and Machine Learning for Osteoporosis DetectionInternational Journal of Dentistry10.1155/2023/6662911
Article
Fog removal in images using improved dark channel prior and contrast limited adaptive histogram equalizationMultimedia Tools and Applications10.1007/s11042-019-7574-8
Chapter
Fuzzy Logic Controller for Accurate Diagnostics in X-Ray FilmMachine Learning Technologies and Applications10.1007/978-981-33-4046-6_9
Article
Decision Making Based on Fuzzy Aggregation Operators for Medical Diagnosis from Dental X-ray imagesJournal of Medical Systems10.1007/s10916-016-0634-y
Chapter
Medical Diagnosis from Images with Intuitionistic Fuzzy Distance MeasuresRough Sets10.1007/978-3-319-99368-3_37
Article
The Combination of Adaptive Convolutional Neural Network and Bag of Visual Words in Automatic Diagnosis of Third Molar Complications on Dental X-Ray ImagesDiagnostics10.3390/diagnostics10040209
Article
Implementation and Use of Disease Diagnosis Systems for Electronic Medical Records Based on Machine Learning: A Complete ReviewIEEE Access10.1109/ACCESS.2020.3016782
Article
Method for Automated Selection of the Trabecular Area in Digital Periapical Radiographic Images Using Morphological OperationsHealthcare Informatics Research10.4258/hir.2019.25.3.193
Article
A Novel Clustering Algorithm in a Neutrosophic Recommender System for Medical DiagnosisCognitive Computation10.1007/s12559-017-9462-8
Article
CHOOSING THE OPTIMAL TREATMENT METHOD TAKING INTO ACCOUNT THE NATURE OF INFLAMMATORY CHANGES IN THE DENTAL PULPWorld of Medicine and Biology10.26724/2079-8334-2022-4-82-7-11
Article
A big data framework for E-Government in Industry 4.0Open Computer Science10.1515/comp-2020-0191
Chapter
Proposed a Mechanism to Precise Diagnostics in X-ray Film Using Fuzzy Logic ControllerData Science and Big Data Analytics10.1007/978-981-99-9179-2_5
Article
A Neuro-Fuzzy Approach to MOPP Open Time Prediction for Chemical Threats in Low-Intensity ConflictsInternational Journal of Fuzzy System Applications10.4018/IJFSA.302124

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

Tran Manh Tuan, Nguyen Thanh Duc, Pham Van Hai, Le Hoang Son

Source Title: International Journal of Fuzzy System Applications (IJFSA)6(1)

ISSN: 2156-177X|EISSN: 2156-1761|EISBN13: 9781522514930|DOI: 10.4018/IJFSA.2017010101

Cite Article Cite Article

MLA

Tuan, Tran Manh, et al. "Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems." IJFSA vol.6, no.1 2017: pp.1-16. http://doi.org/10.4018/IJFSA.2017010101

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. International Journal of Fuzzy System Applications (IJFSA), 6(1), 1-16. http://doi.org/10.4018/IJFSA.2017010101

Chicago

Tuan, Tran Manh, et al. "Dental Diagnosis from X-Ray Images using Fuzzy Rule-Based Systems," International Journal of Fuzzy System Applications (IJFSA) 6, no.1: 1-16. http://doi.org/10.4018/IJFSA.2017010101

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

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.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

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

MLA

APA

Chicago

Export Reference

Abstract

Request Access