Yoon et. al., 2021 Image Dataset
Article Title: An Automated Microscopic Malaria Parasite Detection System Using Digital Image Analysis
Article Link: ref
Description
It is a thick and thin, Giemsa-stained blood smear image dataset.
Demography
- Country: Korea
- Study Area: Korea University Guro Hospital
- Parasite’s species: Plasmodium vivax and Plasmodium falciparum
- Number of Patients: 71
Imaging Technique
- Optical Train: Microscope with automatic scanning and image analysis software
- Magnification: 100×
Dataset Availability
| Correspondence | DOI |
|---|---|
| malarim@korea.ac.kr | 10.3390/diagnostics11030527 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Yoon J, Jang WS, Nam J, Mihn DC, Lim CS. An Automated Microscopic Malaria Parasite Detection System Using Digital Image Analysis. Diagnostics (Basel). 2021 Mar 16;11(3):527. doi: 10.3390/diagnostics11030527. PMID: 33809642; PMCID: PMC8002244.