Cargando…
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears
BACKGROUND: There are 600,000 new malaria cases daily worldwide. The gold standard for estimating the parasite burden and the corresponding severity of the disease consists in manually counting the number of parasites in blood smears through a microscope, a process that can take more than 20 minutes...
Autores principales: | Luengo-Oroz, Miguel Angel, Arranz, Asier, Frean, John |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Gunther Eysenbach
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510720/ https://www.ncbi.nlm.nih.gov/pubmed/23196001 http://dx.doi.org/10.2196/jmir.2338 |
Ejemplares similares
-
Remote analysis of sputum smears for mycobacterium tuberculosis quantification using digital crowdsourcing
por: Delgado, Lara García, et al.
Publicado: (2022) -
Evidence for overdispersion in the distribution of malaria parasites and leukocytes in thick blood smears
por: Hammami, Imen, et al.
Publicado: (2013) -
Reliable enumeration of malaria parasites in thick blood films using digital image analysis
por: Frean, John A
Publicado: (2009) -
Iterated crowdsourcing dilemma game
por: Oishi, Koji, et al.
Publicado: (2014) -
Robust Image Processing Framework for Intelligent Multi-Stage Malaria Parasite Recognition of Thick and Thin Smear Images
por: Aris, Thaqifah Ahmad, et al.
Publicado: (2023)