Aladago et al., 2019 Image Dataset

Article Title: Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks

Article Link: ref

Description

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

Demography

• Country: Ghana
• City: Accra
• Study Area: Noguchi Memorial Institute for Medical Research
• Parasite’s species: Plasmodium vivax and Plasmodium falciparum

Imaging Technique

• Optical Train: Microscope
• Microscope Type: Light Microscope
• Magnification: 100×
• Image Resolution: 1500 × 2100 × 3
• Number of Images: 403
  • Infected - 353
  • Uninfected - 50

Dataset Availability

Corresponding Author	DOI
Maxwell Mbabilla Aladago (maxwell.aladago@ashesi.edu.gh)	10.1109/AFRICON46755.2019.9133937

Cite this Article

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

Aladago, M.M., Torresani, L., & Rosca, E.V. (2019). Semantic Segmentation of the Growth Stages of Plasmodium Parasites using Convolutional Neural Networks. 2019 IEEE AFRICON, 1-7.