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                                       Details for article 39 of 41 found articles
 
 
  Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology analysis from microscopy images
 
 
Title: Sickle-cell disease diagnosis support selecting the most appropriate machine learning method: Towards a general and interpretable approach for cell morphology analysis from microscopy images
Author: Petrović, Nataša
Moyà-Alcover, Gabriel
Jaume-i-Capó, Antoni
González-Hidalgo, Manuel
Appeared in: Computers in biology and medicine
Paging: Volume 126 () nr. C pages p.
Year: 2020
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 39 of 41 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands