Rahmanti et al., 2015 Image Dataset
Article Title: Plasmodium vivax classification from digitalization microscopic thick blood film using combination of second order statistical feature extraction and K-Nearest Neighbor (K-NN) classifier method
Article Link: ref
Description
It is a thick, blood smear image dataset
Demography
- Country: Indonesia
- Study Area: Dinas Kesehatan Provinsi Jawa Timur (East Java Health Department)
- Parasite’s species: Plasmodium vivax
Imaging Technique
- Optical Train: Microscope with camera
- Camera: DSLR
Dataset Availability
| Corresponding Author | DOI |
|---|---|
| Farah Zakiyah Rahmanti(farah_zakiyah@dsn.dinus.ac.id ) | 10.1109/ICICI-BME.2015.7401339 |
Cite this article
❗🛑 If you are using this resource, please cite:
F. Z. Rahmanti, Sutojo, Novita Kurnia Ningrum, Niken Kartika Imania and M. H. Purnomo, "Plasmodium vivax classification from digitalization microscopic thick blood film using combination of second order statistical feature extraction and K-Nearest Neighbor (K-NN) classifier method," 2015 4th International Conference on Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), Bandung, Indonesia, 2015, pp. 79-83, doi: 10.1109/ICICI-BME.2015.7401339.