2 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
eess.IV2022★ 1 cited
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis
Stefan Röhrl, Alice Hein, Lucie Huang +7
The quality of datasets plays a crucial role in the successful training and deployment of deep learning models. Especially in the medical field, where system performance may impact…