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.

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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
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article

BloodImage: Benchmarking vision transformers for blast detection in digital blood films using public and clinical datasets

1 citations
Journal of Pathology Informatics
Digital Imaging for Blood Diseases
1.28
article

BloodImage: Benchmarking vision transformers for blast detection in digital blood films using public and clinical datasets

article en
1 citations

Abstract

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.

Journal of Pathology InformaticsVol. 19
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)
Industry, innovation and infrastructure
Openalex Percentile: Top 13%
Digital Imaging for Blood Diseases
1.28
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