Automated detection and staging of malaria parasites from cytological smears using convolutional neural networks

Microscopic examination of blood smears remains the gold standard for laboratory inspection and diagnosis of malaria. Smear inspection is, however, time-consuming and dependent on trained microscopists with results varying in accuracy. We sought to develop an automated image analysis method to impro...

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Detalles Bibliográficos
Autores principales: Davidson, Mira S., Andradi-Brown, Clare, Yahiya, Sabrina, Chmielewski, Jill, O’Donnell, Aidan J., Gurung, Pratima, Jeninga, Myriam D., Prommana, Parichat, Andrew, Dean W., Petter, Michaela, Uthaipibull, Chairat, Boyle, Michelle J., Ashdown, George W., Dvorin, Jeffrey D., Reece, Sarah E., Wilson, Danny W., Cunningham, Kane A., Ando, D. Michael., Dimon, Michelle, Baum, Jake
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724263/
https://www.ncbi.nlm.nih.gov/pubmed/35036920
http://dx.doi.org/10.1017/S2633903X21000015

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724263/
https://www.ncbi.nlm.nih.gov/pubmed/35036920
http://dx.doi.org/10.1017/S2633903X21000015

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