Diagnosing Malaria Patients with <i>Plasmodium falciparum</i> and <i>vivax</i> Using Deep Learning for Thick Smear Images

Diagnosing Malaria Patients with <i>Plasmodium falciparum</i> and <i>vivax</i> Using Deep Learning for Thick Smear Images

We propose a new framework, PlasmodiumVF-Net, to analyze thick smear microscopy images for a malaria diagnosis on both image and patient-level. Our framework detects whether a patient is infected, and in case of a malarial infection, reports whether the patient is infected by <i>Plasmodium fal...

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Bibliographic Details
Main Authors: Yasmin M. Kassim, Feng Yang, Hang Yu, Richard J. Maude, Stefan Jaeger
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Diagnostics
Subjects:
malaria
computer-aided diagnosis
biomedical image analysis
deep learning
ResNet50
Mask R-CNN
Online Access:https://www.mdpi.com/2075-4418/11/11/1994

Internet

https://www.mdpi.com/2075-4418/11/11/1994

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