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Application of Deep Learning in Clinical Settings for Detecting and Classifying Malaria Parasites in Thin Blood Smears

BACKGROUND: Scarcity of annotated image data sets of thin blood smears makes expert-level differentiation among Plasmodium species challenging. Here, we aimed to establish a deep learning algorithm for identifying and classifying malaria parasites in thin blood smears and evaluate its performance an...

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Detalles Bibliográficos
Autores principales:	Wang, Geng, Luo, Guoju, Lian, Heqing, Chen, Lei, Wu, Wei, Liu, Hui
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2023
Materias:	Major Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10627339/ https://www.ncbi.nlm.nih.gov/pubmed/37937045 http://dx.doi.org/10.1093/ofid/ofad469

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