Hung et al., 2017 Image Dataset
Article Title: Applying Faster R-CNN for Object Detection on Malaria Images
Article Link: ref
Description
It is a thin, Giemsa-stained blood smear image dataset.
Demography
- Country: Brazil
- City: Manaus
- Parasite’s species: Plasmodium vivax.
- Number of patients: 4
Imaging Technique
- Optical Train: Microscope
- Number of Images: 1300
Dataset Availability
| Corresponding Author | DOI |
|---|---|
| Jane Hung (jyhung@mit.edu), Anne E. Carpenter (anne@broadinstitute.org) | 10.1109/cvprw.2017.112 |
Cite this article
❗🛑 **If you are using this resource, please cite:** Hung J, Lopes SCP, Nery OA, Nosten F, Ferreira MU, Duraisingh MT, Marti M, Ravel D, Rangel G, Malleret B, Lacerda MVG, Rénia L, Costa FTM, Carpenter AE. Applying Faster R-CNN for Object Detection on Malaria Images. Conf Comput Vis Pattern Recognit Workshops. 2017 Jul;2017:808-813. doi: 10.1109/cvprw.2017.112. Epub 2021 Nov 18. PMID: 34938593; PMCID: PMC8691760.