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

Kihm, A.; Kaestner, L.; WAGNER, Christian; Quint, S.

doi:10.1371/journal.pcbi.1006278

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Article (Scientific journals)

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

Kihm, A.; Kaestner, L.; WAGNER, Christian et al.

2018 • In PLoS Computational Biology

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/37366

DOI
10.1371/journal.pcbi.1006278

PubMed
29906283

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Disciplines :

Physics

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.

External co-authors :

yes

Language :

English

Title :

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

Publication date :

2018

Journal title :

PLoS Computational Biology

ISSN :

1553-734X

eISSN :

1553-7358

Publisher :

Public Library of Science, San Francisco, United States - California

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBilu :

since 20 November 2018

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