Record link: 
http://hdl.handle.net/20.500.12708/143566
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Title: 
Automated Flow Cytometric MRD Assessment in Childhood Acute B‐ Lymphoblastic Leukemia Using Supervised Machine Learning
en
Citation: 
Reiter, M., Diem, M., Schumich, A., Maurer-Granofszky, M., Karawajew, L., Rossi, J. G., Ratei, R., Groenefeld-Krentz, S., Sajaroff, E., Suhendra, S., Kampel, M., & Dworzak, M. (2019). Automated Flow Cytometric MRD Assessment in Childhood Acute B‐ Lymphoblastic Leukemia Using Supervised Machine Learning. Cytometry Part A, 95(9), 966–975. https://doi.org/10.1002/cyto.a.23852
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Publisher DOI: 
10.1002/cyto.a.23852
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Publication Type: 
Article - Original Research Article
en
Language: 
English
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Authors: 
Reiter, Michael 
Diem, Markus 
Schumich, Angela 
Maurer-Granofszky, Margarita 
Karawajew, Leonid 
Rossi, Jorge G. 
Ratei, Richard 
Groenefeld-Krentz, Stefanie 
Sajaroff, Elisa 
Suhendra, Susanne 
Kampel, Martin 
Dworzak, Michael 
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Organisational Unit: 
E193-01 - Forschungsbereich Computer Vision 
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Journal: 
Cytometry Part A 
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ISSN: 
1552-4922
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Date (published): 
Sep-2019
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Number of Pages: 
10
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Publisher: 
WILEY
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Peer reviewed: 
Yes
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Keywords: 
Histology; Cell Biology; Pathology and Forensic Medicine
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Research Areas: 
Visual Computing and Human-Centered Technology: 100%
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Science Branch: 
Informatik
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