Abdul-Nasir et al., 2015 Image Dataset

Article Title: The Cascaded Moving k-Means and Fuzzy c-Means Clustering Algorithms for Unsupervised Segmentation of Malaria Images

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Description

It is a thin, Giemsa-stained blood smear image dataset.

Demography

• Country: Malaysia
• Location for Slides Collection: Department of Microbiology and Parasitology, Hospital Universiti Sains Malaysia (HUSM) and Hospital Universiti Kebangsaan Malaysia (HUKM).
• Parasite’s species: Plasmodium vivax
• Life Stages Identified: Ring, Trophozoite, Schizont and Gametocyte stages

Imaging Technique

• Optical Train: Microscope with digital camera
• Microscope Type: Leica DLMA microscope
• Camera Type: Infinity-2 digital camera
• Magnification: 100× using oil immersion
• Image Resolution: 800 × 600 pixels
• Number of Images: 125 images

Cite this Article

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

Abdul Nasir, Aimi Salihah & Mashor, Mohd & Abd halim, Nurul hazwani & Mohamed, Zeehaida. (2014). The Cascaded Moving k-Means and Fuzzy c-Means Clustering Algorithms for Unsupervised Segmentation of Malaria Images. 1660. 10.1063/1.4915828.