Sengar et al., 2022 Image Dataset

Article Title: A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images

Article Link: ref

Description

This is a thin, Giemsa-stained blood smear image dataset

Demography

• Country: Pakistan
• City: Punjab
• Study Area: Province of Punjab
• Parasite’s species: Plasmodium vivax

Imaging Technique

• Optical Train: Microscope
• Microscope Type: Light Microscope
• Magnification: 100×
• Number of Images: 345

Dataset Availability

Corresponding Author	DOI
Malay Kishore Dutta (malaykishoredutta@gmail.com)	https://doi.org/10.1016/j.cmpb.2022.106996

Cite this Article

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

Sengar, N., Burget, R., & Dutta, M. K. (2022). A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images. Computer Methods and Programs in Biomedicine, 224, 106996. https://doi.org/10.1016/j.cmpb.2022.106996