Unstained White Blood Cell Classification Using Deep Learning
International Journal of Laboratory Hematology / 2023 / journal
Yu H, Forster F, Bhandary Panambur A, Merino A, Maier A, Marquardt G
journal / 2023
Medical AI visual summary
Scientific summary
This study applies deep learning to unstained white blood cell classification, extending medical image analysis into laboratory hematology.
Abstract
This publication studies deep learning for classifying unstained white blood cells.
Why it matters
Unstained cell classification may reduce sample-preparation burden and support more efficient hematology workflows.
Contribution
It extends medical image classification beyond radiology into laboratory hematology.
Method overview
TODO: Add verified model and dataset details from the journal article.
Key findings
- Published in the International Journal of Laboratory Hematology.
- DOI available in the existing repository content.
- TODO: Add exact metrics from the article.
Citation
Yu H, Forster F, Bhandary Panambur A, Merino A, Maier A, Marquardt G. (2023). Unstained White Blood Cell Classification Using Deep Learning. International Journal of Laboratory Hematology.
TODO: Add BibTeX.