Rosnelly et al., 2017 Image Dataset
Article Title: Identification of malaria disease and its stadium based on digital image processing
Article Link: ref
Description
It is a thin, Giemsa-stained image dataset
Demography
- Country: Indonesia
- Study Area: Central Health Laboratory North Sumatera Province, Indonesia.
- Parasite’s species: Plasmodium vivax, Plasmodium falciparum and Plasmodium malariae
Imaging Technique
- Optical Train: Microscope
- Microscope Type: Digital microscope
- Magnification: 100×
- Number of Images: 600
Dataset Availability
| Corresponding Author |
|---|
| Rika Rosnelly (rikarosnelly@gmail.com,) |
Cite this Article
❗🛑 If you are using this resource, please cite:
Rosnelly, R. & Hartati, S. & Mulatsih, S.. (2017). Identification of malaria disease and its stadium based on digital image processing. 95. 700-710.