BloodImage: Benchmarking vision transformers for blast detection in digital blood films using public and clinical datasets
Our findings support the viability of ViTs for clinical integration in blood film analysis. Augmentation, advanced data splitting, and Gaussian downsampling enhance model generalization, offering a promising strategy for resource-limited or high-throughput diagnostic environments.
Institutions
- Queen Mary University of London (GB)
- Barts Health NHS Trust (GB)
- University of Cambridge (GB)
- East London NHS Foundation Trust (GB)
- International Mining Consultants (GB)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1016/j.jpi.2025.100525
- Citations
- 1
- Primary Topic
- Digital Imaging for Blood Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.28