Application of Artificial Intelligence–Based Transfer Learning Models to the Bethesda System for Thyroid Cytopathology
This is the first study to apply ensemble transfer learning to TBSRTC categorisation. The approach demonstrated strong predictive accuracy, particularly for benign and malignant categories. Larger datasets, ideally with whole-slide imaging, are needed to further validate these findings.
Authors
- Pranab Dey (ORCID: https://orcid.org/0000-0001-9297-5400)
- Rajiv Savala
- Uma Nahar Saikia
Institutions
- Post Graduate Institute of Medical Education and Research (IN)
Publication Details
- Journal
- Cytopathology
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1111/cyt.70045
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00