Nakasi et al., 2021 Image Dataset
Article Title: Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears
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Description
It is a thick, Field-stained blood smear image dataset.
Demography
- Country: Uganda
- City: Kampala
- Study Area: Mulago National referral hospital
- Parasite’s species: Plasmodium falciparum.
Imaging Technique
- Optical Train: Smartphone appended to a microscope eyepiece
- Type of Smartphone: Samsung J6 Android smartphone
- Image Resolution: 3264 × 2448 pixels
- Microscope: Olympus Microscope
- Number of Images: 903 images
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Infected
Dataset Availability
| Status | Dataset Link | DOI |
|---|---|---|
| Publicly available | Dataset | https://doi.org/10.3390/a14010017 |
Cite this article
❗🛑 If you are using this resource, please cite:
Nakasi, Rose, Ernest Mwebaze, and Aminah Zawedde. 2021. "Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears" Algorithms 14, no. 1: 17. https://doi.org/10.3390/a14010017