Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

Flow cytometry datasets consisting of peripheral blood and bone marrow samples for the evaluation of explainable artificial intelligence methods

Three different Flow Cytometry datasets consisting of diagnostic samples of either peripheral blood (pB) or bone marrow (BM) from patients without any sign of bone marrow disease at two different health care centers are provided. In Flow Cytometry, each cell rapidly passes through a laser beam one b...

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Bibliographic Details
Main Authors: Thrun, Michael C., Hoffmann, Jörg, Röhnert, Maximilian, Bonin, Malte von, Oelschlägel, Uta, Brendel, Cornelia, Ultsch, Alfred
Format: Article
Language:English
Published: Philipps-Universität Marburg 2022
Subjects:
Immunophenotyping
Explainable artificial intelligence
Cell populations
Benchmarking
Interpretable
Flow cytometry
Human blood
Human bone
marrow
Mathematik
Mathematics
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Publikationen im Open Access gefördert durch die UB

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