Classification of red blood cell shapes in flow using outlier tolerant machine learning

Reference : Classification of red blood cell shapes in flow using outlier tolerant machine learning


	Document type :	Scientific journals : Article
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Physics
	To cite this reference:	http://hdl.handle.net/10993/37366

Title :	Classification of red blood cell shapes in flow using outlier tolerant machine learning
Language :	English
Author, co-author :	Kihm, A. []
	Kaestner, L. []
	Wagner, Christian [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Physics and Materials Science Research Unit >]
	Quint, S. []
Publication date :	2018
Journal title :	PLoS Computational Biology
Publisher :	Public Library of Science
Peer reviewed :	Yes (verified by ORBi^lu)
Audience :	International
ISSN :	1553-734X
e-ISSN :	1553-7358
City :	San Francisco
Country :	CA
Permalink :	http://hdl.handle.net/10993/37366
DOI :	10.1371/journal.pcbi.1006278

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