Oral screening of dental calculus, gingivitis and dental caries through segmentation on intraoral photographic images using deep learning
The proposed deep learning system is expected to be used for the detection of two types of oral diseases and dental calculus, and the degree judgment of photographic images from an intraoral camera. This system offers a practical method to assist in the oral screening of dental caries, dental calculus, and gingivitis, providing benefits such as intuitive use, time efficiency, cost-effectiveness, and ease of deployment.
Authors
- Yang Song (ORCID: https://orcid.org/0000-0002-9912-5158)
- N. Zhang
- Dong-Ping Cai (ORCID: https://orcid.org/0000-0002-7956-8699)
- Yong Cheng (ORCID: https://orcid.org/0000-0001-7434-8761)
- Yi Liu (ORCID: https://orcid.org/0009-0007-8292-3296)
Institutions
- Nanjing University of Information Science and Technology (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1186/s12903-024-05072-1
- Citations
- 23
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 11.35
Funders
- Nanjing University of Information Science and Technology
- Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology