Deep learning algorithms for detecting fractured instruments in root canals
DenseNet201's superior performance highlights its clinical potential for FEI detection, while ResNet-18 offers a balance between accuracy and computational efficiency. The findings highlight the need for model-task alignment and optimization in medical imaging applications.
Authors
- İrem Çetinkaya (ORCID: https://orcid.org/0000-0001-6432-8054)
- Ekin Deniz Çatmabacak (ORCID: https://orcid.org/0009-0007-4471-5760)
Institutions
- Trakya University (TR)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-02-23
- DOI
- https://doi.org/10.1186/s12903-025-05652-9
- Citations
- 7
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 12.53