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Title:

Towards Interpretable Classification of Leukocytes based on Deep Learning

Document type:
Konferenzbeitrag
Author(s):
Röhrl, Stefan; Groll, Johannes; Lengl, Manuel; Schumann, Simon; Klenk, Christian; Heim, Dominik; Knopp, Martin; Hayden, Oliver; Diepold, Klaus
Abstract:
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 labeling and the associated lower contrast, can classify cells with high accuracy where the human observer has a little chance to discriminate cells. In order to better integrate these workflows into the clinical decision making process, this work investigates the calibration of confidence estimation for the automated...     »
Keywords:
Interpretable Machine Learning, Confidence Calibration, Visual Explanation, Quantitative Phase Imaging, Biomedical Imaging, Leukocyte Differentiation
Book / Congress title:
3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH)
Year:
2023
Year / month:
2023-07
TUM Institution:
Lehrstuhl für Datenverarbeitung; Heinz Nixdorf-Lehrstuhl für Medizinische Elektronik
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