Real-life evaluation of deep learning models trained on two datasets for Plasmodium falciparum detection with thin blood smear images at 500x magnification - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Informatics in Medicine Unlocked Année : 2022

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

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hal-03951590 , version 1 (23-01-2023)

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Aniss Acherar, Ilhame Tantaoui, Marc Thellier, Alexandre Lampros, Renaud Piarroux, et al.. Real-life evaluation of deep learning models trained on two datasets for Plasmodium falciparum detection with thin blood smear images at 500x magnification. Informatics in Medicine Unlocked, 2022, 35, pp.101132. ⟨10.1016/j.imu.2022.101132⟩. ⟨hal-03951590⟩
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