Delgado-Ortet et. al., 2020 Image Dataset
Article Title: A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection
Article Link: ref
Description
It is a thin, MGG-stained blood smear image dataset
Demography
- Country: Spain
- City: Barcelona
- Parasite’s species: Plasmodium falciparum.
Imaging Technique
- Optical Train: Camera appended to a microscope
- Microscope: Olympus B×43 microscope (Olympus, Tokyo, Japan)
- Camera Type: Microscope digital camera DP73 (Olympus, Tokyo, Japan)
- Magnification: 100×
- Image Resolution: 2400 × 1800
- Number of Images: 517
Image Preview
Infected
Uninfected
Dataset Availability
| Status | Dataset Link | DOI |
|---|---|---|
| Publicly available | Infected, Uninfected | 10.3390/e22060657 |
Cite this article
❗🛑 If you are using this resource, please cite:
Delgado-Ortet M, Molina A, Alférez S, Rodellar J, Merino A. A Deep Learning Approach for Segmentation of Red Blood Cell Images and Malaria Detection. Entropy (Basel). 2020 Jun 13;22(6):657. doi: 10.3390/e22060657. PMID: 33286429; PMCID: PMC7517192.