Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
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 |