Dental caries detection on tooth X-ray images bydeep learning
- سال انتشار: 1402
- محل انتشار: سومین کنفرانس بین المللی پژوهش ها و دستاوردهای نو در علوم، مهندسی و فناوری های نوین
- کد COI اختصاصی: SETBCONF03_170
- زبان مقاله: انگلیسی
- تعداد مشاهده: 193
نویسندگان
Sanjesh’e No high school, Tabriz, Iran
Department of Computer Science, Science and research branch of Azad University, Tehran,Iran
Roshdiyeh Higher Education Institute, Tabriz, East Azerbaijan Province, Iran,
Department of electrical engineering,Tafaresh University, Tafaresh city, Iran,
چکیده
Tooth decay is a common problem in dental radiography that affects a significant part of oral diseases.Early detection and prevention of tooth decay are crucial for effective treatment. However, accuratelydiagnosing dental caries remains challenging and has gained attention in international oral research.Computer-aided detection of caries using X-ray images has emerged as a potential solution. Artificialintelligence, particularly deep learning, has aided dentists in detecting tooth decay in X-ray imageseffectively. This research investigates the use of deep learning architectures for diagnosis,classification, and segmentation of dental X-ray images. By leveraging these advanced techniques,dentists can improve their ability to detect and treat dental caries promptly and accurately. Inconclusion, the use of deep learning in dental radiography has shown promising results in accuratelydetecting and classifying dental caries from X-ray images. This technology has the potential torevolutionize the field of dentistry by improving the accuracy and efficiency of diagnosis and treatmentof tooth decay.کلیدواژه ها
Deep learning, Dental caries, Diagnosis, X-ray images.مقالات مرتبط جدید
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