Deep ensemble learning enables highly accurate classification of stored red blood cell morphology

Changes in red blood cell (RBC) morphology distribution have emerged as a quantitative biomarker for the degradation of RBC functional properties during hypothermic storage. Previously published automated methods for classifying the morphology of stored RBCs often had insufficient accuracy and relie...

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Detalles Bibliográficos
Autores principales: Routt, Austin H., Yang, Natalia, Piety, Nathaniel Z., Lu, Madeleine, Shevkoplyas, Sergey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950070/
https://www.ncbi.nlm.nih.gov/pubmed/36823298
http://dx.doi.org/10.1038/s41598-023-30214-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950070/
https://www.ncbi.nlm.nih.gov/pubmed/36823298
http://dx.doi.org/10.1038/s41598-023-30214-w

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