Kanafiah et al., 2022 Image Dataset
Article Title: An Intelligent Classification System for Trophozoite Stages in Malaria Species
Article Link: ref
Description
It is a thin blood smear image dataset.
Demography
- Country: Malaysia
- City: Kelantan
- Study Area: Hospital Universiti Sains Malaysia
- Parasite’s species: Plasmodium vivax, Plasmodium falciparum, Plasmodium knowlesi.
Imaging Technique
- Optical Train: Microscope with camera
- Microscope Type: Microscope BX41
- Camera Type: Olympus XC50 Camera
- Magnification: 100×
- Image Resolution: 800 × 600
- Number of Images: 150 images
- P. vivax - 50 images
- P. falciparum - 50 images
- P. knowlesi - 50 images
Dataset Availability
| Status | Corresponding Author | DOI |
|---|---|---|
| Available on Request | Siti Nurul Aqmariah Mohd Kanafiah (aqmariah@unimap.edu.my) | https://doi.org/10.32604/iasc.2022.024361 |
Cite this Article
❗🛑 If you are using this resource, please cite:
S. Nurul Aqmariah Mohd Kanafiah, M. Yusoff Mashor, Z. Mohamed, Y. Chun Way, S. Aniza Abdul Shukor et al., "An intelligent classification system for trophozoite stages in malaria species," Intelligent Automation & Soft Computing, vol. 34, no.1, pp. 687–697, 2022.