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

Natasa Petrovic, Gabriel Moyà Alcover, Antoni Jaume-i-Capó, Manuel González Hidalgo. 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. Comp. in Bio. and Med., 126:104027, 2020. [doi]

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