Development and verification of a convolutional neural network-based model for automatic mandibular canal localization on multicenter CBCT images
In this study, a CNN model was developed for automatic MC localization, and external testing of large sample on multicenter CBCT images showed its excellent clinical application potential.
Authors
- Zitong Lin (ORCID: https://orcid.org/0000-0002-3733-4974)
- Runzhi Deng (ORCID: https://orcid.org/0000-0002-4522-9664)
- Xuhui Luo
- Xiao Pan (ORCID: https://orcid.org/0000-0001-7845-0122)
- Haiyang Sun (ORCID: https://orcid.org/0000-0001-8476-3248)
- Wentao Zhang (ORCID: https://orcid.org/0000-0003-4087-7280)
- Chengtao Wang (ORCID: https://orcid.org/0000-0002-2812-2697)
- Qi Dong (ORCID: https://orcid.org/0000-0002-3376-5654)
- Hongyan Qu
Institutions
- Nanjing University of Industry Technology (CN)
- Shanghai Chengtou (China) (CN)
- Stomatology Hospital (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1186/s12903-025-06724-6
- Citations
- 1
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.79
Funders
- Nanjing University