Salamah et al., 2019 Image Dataset
Article Title: A robust segmentation for malaria parasite detection of thick blood smear microscopic images
Article Link: ref
Description
This is a thick blood smear image dataset
Demography
- Country: Indonesia
- Study Area: Eijkman Institute for Molecular Biology
Imaging Technique
- Optical Train: Microscope
- Magnification: 100×
- Image Resolution: 1280 x 960 pixels
- Number of Images: 30
Dataset Availability
| Corresponding Author | DOI |
|---|---|
| Umi Salamah (umisalamah@staff.uns.ac.id) | 10.18517/ijaseit.9.4.4843 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Salamah, U., Sarno, R., Arifin, A. Z., Nugroho, A. S., Rozi, I. E., & Asih, P. B. S. (2019). A robust segmentation for malaria parasite detection of thick blood smear microscopic images. International Journal on Advanced Science, Engineering and Information Technology, 9(4), 1450-1459. https://doi.org/10.18517/ijaseit.9.4.4843