4524 Fighting Malaria, One Image at a Time: Using Computer Vision to Develop an Automated Vector Speciation Tool

OBJECTIVES/GOALS: Rapid and accurate identification of primary malaria vector species from collected specimens is the most critical aspect of effective vector surveillance and control. This interdisciplinary team of engineers aims to automate identification using a deep learning computer vision algo...

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Detalles Bibliográficos
Autores principales: Diaz, Sophia, Ford, Tristan, Slinowsky, Monet, Gersch, Kiley, Armah, Ebenezer, Frank, Karina, Buono, Zachary, Glancey, Margaret, Goodwin, Adam, Acharya, Soumyadipta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2020
Materias:
Commercialization/Entrepreneurship
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823411/
http://dx.doi.org/10.1017/cts.2020.159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8823411/
http://dx.doi.org/10.1017/cts.2020.159

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