iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope

iMAGING: a novel automated system for malaria diagnosis by using artificial intelligence tools and a universal low-cost robotized microscope

IntroductionMalaria is one of the most prevalent infectious diseases in sub-Saharan Africa, with 247 million cases reported worldwide in 2021 according to the World Health Organization. Optical microscopy remains the gold standard technique for malaria diagnosis, however, it requires expertise, is t...

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Bibliographic Details
Main Authors: Carles Rubio Maturana, Allisson Dantas de Oliveira, Sergi Nadal, Francesc Zarzuela Serrat, Elena Sulleiro, Edurne Ruiz, Besim Bilalli, Anna Veiga, Mateu Espasa, Alberto Abelló, Tomàs Pumarola Suñé, Marta Segú, Daniel López-Codina, Elisa Sayrol Clols, Joan Joseph-Munné
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Microbiology
Subjects:
malaria
malaria diagnosis
convolutional neural networks
artificial intelligence
robotized microscope
smartphone application
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2023.1240936/full

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https://www.frontiersin.org/articles/10.3389/fmicb.2023.1240936/full

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