Sunarko et al., 2017 Image Dataset

Article Title: Correlation between automatic detection of malaria on thin film and experts’ parasitaemia scores

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Description

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

Demography

• Study Area: Hydas World Health
• Number of Patients: 7 patients

Imaging Technique

• Optical Train: Automatic scanning microscope
• Magnification: 400×
• Image Resolution: 540 x 960 pixel
• Number of Images: 1590 images

Cite this Article

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Budi Sunarko, Simon Williams, William R. Prescott, Scott M. Byker, Murk J. Bottema; Correlation between automatic detection of malaria on thin film and experts’ parasitaemia scores. AIP Conf. Proc. 9 March 2017; 1818 (1): 020054. https://doi.org/10.1063/1.4976918