Gh-Lab Image Dataset

Article Title: Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images

Article Link: ref

Description

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

Demography

• Country: South America, Africa, Asia, and London
• Parasite’s species: Plasmodium malariae, Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale
• Number of patients: 765 patients

Imaging Technique

• Optical Train: Microscope
• Microscope: Motic EasyScan-Go
• Camera: CMOS camera
• Number of images: 323000 Field of Views
• Image Size: 2048×1536

Dataset Availability

Not publicly available

Cite this article

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Delahunt, C. B., Jaiswal, M. S., Horning, M. P., Janko, S., Thompson, C. M., Kulhare, S., Hu, L., Ostbye, T., Yun, G., Gebrehiwot, R., Wilson, B. K., Long, E., Proux, S., Gamboa, Di., Chiodini, P., Carter, J., Dhorda, M., Isaboke, D., Ogutu, B., … Mehanian, C. (2019). Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images. 2019 IEEE Global Humanitarian Technology Conference, GHTC 2019, i. https://doi.org/10.1109/GHTC46095.2019.9033083