Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

Advances and challenges in automated malaria diagnosis using digital microscopy imaging with artificial intelligence tools: A review

Malaria is an infectious disease caused by parasites of the genus Plasmodium spp. It is transmitted to humans by the bite of an infected female Anopheles mosquito. It is the most common disease in resource-poor settings, with 241 million malaria cases reported in 2020 according to the World Health O...

Full description

Bibliographic Details
Main Authors: Carles Rubio Maturana, Allisson Dantas de Oliveira, Sergi Nadal, Besim Bilalli, Francesc Zarzuela Serrat, Mateu Espasa Soley, Elena Sulleiro Igual, Mercedes Bosch, Anna Veiga Lluch, Alberto Abelló, Daniel López-Codina, Tomàs Pumarola Suñé, Elisa Sayrol Clols, Joan Joseph-Munné
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Microbiology
Subjects:
malaria diagnosis
digital imaging techniques
deep learning
artificial intelligence
microscopic examination
smartphone application
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2022.1006659/full

Internet

https://www.frontiersin.org/articles/10.3389/fmicb.2022.1006659/full

Similar Items