Devi et al., 2018 Image Dataset

Article Title: Hybrid classifier based life cycle stages analysis for malaria-infected erythrocyte using thin blood smear images

Article Link: ref

Description

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

Demography

• Country: India
• City: Silchar
• Parasite’s species: Plasmodium vivax, Plasmodium falciparum.

Imaging Technique

• Optical Train: Microscope
• Magnification: 100× with oil immersion
• Number of Images: 400 images

Dataset Availability

Corresponding Author	DOI
Rabul Hussain Laskar (rhlaskar@ece.nits.ac.in)	https://doi.org/10.1007/s00521-017-2937-4

Cite this Article

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

Devi, S.S., Laskar, R.H. & Sheikh, S.A. Hybrid classifier based life cycle stages analysis for malaria-infected erythrocyte using thin blood smear images. Neural Comput & Applic 29, 217–235 (2018). https://doi.org/10.1007/s00521-017-2937-4