Real-life evaluation of deep learning models trained on two datasets for Plasmodium falciparum detection with thin blood smear images at 500x magnification

Real-life evaluation of deep learning models trained on two datasets for Plasmodium falciparum detection with thin blood smear images at 500x magnification

Malaria is a fatal disease transmitted by bites from mosquito-type vectors. Biologists examined blood smears under a microscope at high magnification (1000 × ) to identify the presence of parasites in red blood cells (RBCs). Such an examination is laborious and time-consuming. Moreover, microscopist...

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Bibliographic Details
Main Authors: Aniss Acherar, Ilhame Tantaoui, Marc Thellier, Alexandre Lampros, Renaud Piarroux, Xavier Tannier
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Malaria diagnosis
Thin blood smear
Microscopic image
Deep transfer learning
Convolutional neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822002696

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http://www.sciencedirect.com/science/article/pii/S2352914822002696

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