Diagnosis of Dental State Using AI Techniques
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Date
2024-06
Journal Title
Journal ISSN
Volume Title
Publisher
University of M'sila
Abstract
This project proposes an advanced system for the field of smart dentistry. The system
uses advanced AI- techniques based on CNN approach by applying transfer learning and
machine learning to diagnose the dental state using panoramic radiographs. Through our
experimental work, we have demonstrated the high effectiveness and accuracy of deep learning
in dental diagnosis, the achieved accuracy was 98.31% using EffecientnetB3 and 97.38% using
EffecientnetB5. The objective of this project is to achieve quick and efficient diagnosis, it can
be considered as an important step in the search for more effective and intelligent dental
diagnosis solutions thus enhancing the overall quality of dental care.
Description
Keywords
diagnosis, deep learning, CNN, transfer learning, machine learning, panoramic radiography, smart dentistry