Automated Detection of P. falciparum Using Machine Learning Algorithms with Quantitative Phase Images of Unstained Cells

Malaria detection through microscopic examination of stained blood smears is a diagnostic challenge that heavily relies on the expertise of trained microscopists. This paper presents an automated analysis method for detection and staging of red blood cells infected by the malaria parasite Plasmodium...

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Detalles Bibliográficos
Autores principales: Park, Han Sang, Rinehart, Matthew T., Walzer, Katelyn A., Chi, Jen-Tsan Ashley, Wax, Adam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026369/
https://www.ncbi.nlm.nih.gov/pubmed/27636719
http://dx.doi.org/10.1371/journal.pone.0163045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026369/
https://www.ncbi.nlm.nih.gov/pubmed/27636719
http://dx.doi.org/10.1371/journal.pone.0163045

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