Deep learning for differential diagnosis of parotid tumors based on 2.5D magnetic resonance imaging
The 2.5D imaging technique, when integrated with a transformer-based transfer learning model, demonstrates significant efficacy in differentiating between PGTs.
Authors
- Wenfeng Mai (ORCID: https://orcid.org/0000-0002-7188-5075)
- Changzheng Shi (ORCID: https://orcid.org/0000-0002-9728-6062)
- Xiaoyu Hua (ORCID: https://orcid.org/0009-0000-3895-2275)
- Mingquan Cai (ORCID: https://orcid.org/0000-0002-1600-4597)
- Xiangning Liu (ORCID: https://orcid.org/0000-0003-2829-7507)
- Liting Chen (ORCID: https://orcid.org/0000-0002-7786-1226)
- Hengguo Li (ORCID: https://orcid.org/0000-0002-6770-0162)
- Xiaole Fan (ORCID: https://orcid.org/0009-0007-1631-7239)
- Lingtao Zhang (ORCID: https://orcid.org/0009-0003-9873-4570)
- Jian Li (ORCID: https://orcid.org/0000-0002-5144-2410)
- Dong Zhang (ORCID: https://orcid.org/0000-0001-5187-3598)
Institutions
- Nanchang University (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Stomatology Hospital (CN)
- First Affiliated Hospital of Jinan University (CN)
- Imaging Center (US)
Publication Details
- Journal
- Annals of Medicine
- Published
- 2025-06-18
- DOI
- https://doi.org/10.1080/07853890.2025.2520401
- Citations
- 4
- Primary Topic
- Salivary Gland Tumors Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.03
Funders
- Basic and Applied Basic Research Foundation of Guangdong Province