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 - researchr publication authors

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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]

This author has not been identified. Look up 'Natasa Petrovic' in GoogleThis author has not been identified. Look up 'Gabriel Moyà Alcover' in GoogleThis author has not been identified. Look up 'Antoni Jaume-i-Capó' in GoogleThis author has not been identified. Look up 'Manuel González Hidalgo' in Google

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