Diagnosis of Dental State Using AI Techniques
| dc.contributor.author | Aillane, Rayane | |
| dc.contributor.author | Chali, Nada | |
| dc.contributor.author | Gadri, Said: Supervisor | |
| dc.date.accessioned | 2024-07-03T13:43:09Z | |
| dc.date.available | 2024-07-03T13:43:09Z | |
| dc.date.issued | 2024-06 | |
| dc.description.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. | |
| dc.identifier.uri | https://repository.univ-msila.dz/handle/123456789/43170 | |
| dc.language.iso | en | |
| dc.publisher | University of M'sila | |
| dc.subject | diagnosis | |
| dc.subject | deep learning | |
| dc.subject | CNN | |
| dc.subject | transfer learning | |
| dc.subject | machine learning | |
| dc.subject | panoramic radiography | |
| dc.subject | smart dentistry | |
| dc.title | Diagnosis of Dental State Using AI Techniques | |
| dc.type | Thesis |