Dental Crowding Categorization Network (DCC-Net): Explainable deep learning system for automatic categorization of dental crowding on intraoral photographs
DCC-Net achieved accurate categorization of dental crowding on intraoral photographs. Its rapid predictions may offer insights for guiding tooth extraction in orthodontic treatment, providing valuable reference data for inexperienced orthodontists and improving doctor-patient communication.
Authors
- Cunlong Fan (ORCID: https://orcid.org/0009-0002-1803-9467)
- Fangyuan Cheng (ORCID: https://orcid.org/0009-0005-6218-0232)
- Li Zhang (ORCID: https://orcid.org/0000-0003-1152-8962)
- Juan Li
- Raokaijuan Wang
- Ruijie Fu
- Fulin Jiang
- Yangjie Deng
Institutions
- Shenzhen University (CN)
- Sichuan University (CN)
- Chengdu University of Technology (CN)
- Chongqing Three Gorges Central Hospital (CN)
- Chongqing Three Gorges University (CN)
Publication Details
- Journal
- The Korean Journal of Orthodontics
- Published
- 2025-10-29
- DOI
- https://doi.org/10.4041/kjod25.078
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00