Optimizing malignancy prediction: A comparative analysis of transfer learning techniques on EBUS images
The application of transfer learning to the analysis of EBUS images offers significant potential for improving diagnostic accuracy in thoracic medicine, particularly in lung cancer.
Authors
- Emre Bendeş (ORCID: https://orcid.org/0000-0002-9432-3278)
- Gizem Işık (ORCID: https://orcid.org/0000-0001-8810-3781)
- Ali Erdem Özçelik (ORCID: https://orcid.org/0000-0001-5877-1738)
- Neslihan Özçelik (ORCID: https://orcid.org/0000-0002-4672-6179)
- Omer Topaloglu
Institutions
- Recep Tayyip Erdoğan University (TR)
- Nevşehir Hacı Bektaş Veli University (TR)
- Bolu Abant İzzet Baysal University (TR)
Publication Details
- Journal
- Clinics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.clinsp.2025.100703
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48