2 citations · 2 across the 2 of their papers we have counts for
2 papers
q-bio.QM2025
Real-time deep learning phase imaging flow cytometer reveals blood cell aggregate biomarkers for haematology diagnostics
Kerem Delikoyun, Qianyu Chen, Liu Wei +13
While analysing rare blood cell aggregates remains challenging in automated haematology, they could markedly advance label-free functional diagnostics. Conventional flow cytometers…
cs.CV2023★ 2 cited
Towards Interpretable Classification of Leukocytes based on Deep Learning
Stefan Röhrl, Johannes Groll, Manuel Lengl +6
Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency. They are supported by machine learning methods, which, despite the lack of…