Adebayo et al., 2024 Image Dataset
Article Title: Blood Smear Images Dataset for AI-based Malaria Parasite Prediction
Article Link: ref
Description
It is a thick and thin, Giemsa-stained blood smear image dataset.
Demography
- Country: Nigeria
- State: Osun State, Oyo State and Cross River
- Study Area: Bowen University Hospital Iwo and Bowen University Teaching Hospital Ogbomoso and Cross River State.
- Parasite's species: Plasmodium malariae, Plasmodium ovale, Plasmodium falciparum
Imaging Technique
- Optical Train: Microscope
- Magnification: 100x
- Number of Images: 881 images
- Infected: 550 images
- Uninfected: 331 images
Dataset Availability
| Status | Dataset Link | DOI |
|---|---|---|
| Publicly available | Dataset |
Cite this article
❗🛑 If you are using this resource, please cite:
Adebayo, Segun; Adeleke, Olumide; Oladosu, Oladipo; Oboh, Mary; Ayenigba, Alaba; Oladipo, Tunde (2024), “Blood Smear Images Dataset for AI-based Malaria Parasite Prediction”, Mendeley Data, V1, doi: 10.17632/6zpxnhjxzz.1