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...

Descripción completa

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

Internet

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

Ejemplares similares