Diagnosing Malaria Patients with Plasmodium falciparum and vivax Using Deep Learning for Thick Smear Images

We propose a new framework, PlasmodiumVF-Net, to analyze thick smear microscopy images for a malaria diagnosis on both image and patient-level. Our framework detects whether a patient is infected, and in case of a malarial infection, reports whether the patient is infected by Plasmodium falciparum o...

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Detalles Bibliográficos
Autores principales: Kassim, Yasmin M., Yang, Feng, Yu, Hang, Maude, Richard J., Jaeger, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621537/
https://www.ncbi.nlm.nih.gov/pubmed/34829341
http://dx.doi.org/10.3390/diagnostics11111994

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8621537/
https://www.ncbi.nlm.nih.gov/pubmed/34829341
http://dx.doi.org/10.3390/diagnostics11111994

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