Khan et al., 2017 Image Dataset

Article Title: Unsupervised identification of malaria parasites using computer vision

Article Link: ref

Description

This is a thick and thin, Leishman-stained blood smear image dataset.

Demography

• Parasite’s species: Plasmodium vivax

Imaging Technique

• Optical Train: Microscope
• Magnification: 100× with oil immersion
• Image Resolution: 352 × 288 pixels
• Number of Images: 330 images

Dataset Availability

Corresponding Author	DOI
Najeed Ahmed Khan (najeed@neduet.edu.pk)	10.1109/JCSSE.2014.6841878

Cite this Article

❗🛑 If you are using this resource, please cite:

N. A. Khan, H. Pervaz, A. K. Latif, A. Musharraf and Saniya, "Unsupervised identification of malaria parasites using computer vision," 2014 11th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chon Buri, Thailand, 2014, pp. 263-267, doi: 10.1109/JCSSE.2014.6841878.