Automatic detection of mandibular fractures on CT scan using deep learning
Detection and classification of mandibular fractures in CT images can be significantly enhanced using the nnU-Net segmentation framework, aiding in clinical diagnosis.
Authors
- Feng Shi (ORCID: https://orcid.org/0000-0003-1522-9943)
- Meng You (ORCID: https://orcid.org/0000-0001-6189-1845)
- Yuanyuan Liu (ORCID: https://orcid.org/0000-0002-2873-8854)
- Wenjing Chen (ORCID: https://orcid.org/0009-0004-0167-125X)
- Yeting Tu
- Xuechun Wang
Institutions
- Sichuan University (CN)
- Beijing Academy of Artificial Intelligence (CN)
- United Imaging Healthcare (China) (CN)
Publication Details
- Journal
- Dentomaxillofacial Radiology
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1093/dmfr/twaf031
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00