Comparative analysis of deep learning architectures for thyroid eye disease detection using facial photographs
Face image-based TED screening using ResNet-50 and ResNet-101 AI models shows acceptable accuracy, sensitivity, and specificity for distinguishing TED from healthy subjects.
Authors
- Amin Zand (ORCID: https://orcid.org/0000-0003-4423-4979)
- Mohammad Rezaei (ORCID: https://orcid.org/0000-0002-0619-2846)
- Amirhossein Aghajani (ORCID: https://orcid.org/0000-0003-1539-4340)
- Elham Rahmanikhah (ORCID: https://orcid.org/0000-0002-0575-1298)
- Seyed Mohsen Rafizadeh (ORCID: https://orcid.org/0000-0002-5480-590X)
- Mohammad Taher Rajabi (ORCID: https://orcid.org/0009-0006-3639-9318)
- Mohammad Shojaeinia
Institutions
- Farabi Hospital (IR)
- Shahid Beheshti University of Medical Sciences (IR)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- BMC Ophthalmology
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1186/s12886-025-03988-y
- Primary Topic
- Cerebral Venous Sinus Thrombosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00