SmartMalariaNet Image Dataset
Article Title: AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images
Article Link: ref
Description
It is a thin, Giemsa-stained blood smear image dataset.
Demography
- Study Location: Sierra Leone-China Friendship Hospital and the Rokupa Government Hospital.
- Parasite’s species: Plasmodium falciparum
- Number of patients: 140 patients
Imaging Technique
- Optical Train: Smartphone attached to the eyepiece of a microscope
Dataset Availability
| Status | Dataset | DOI |
|---|---|---|
| Publicly Available | Dataset | https://doi.org/10.1016/j.patter.2023.100806 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Liu R, Liu T, Dan T, Yang S, Li Y, Luo B, Zhuang Y, Fan X, Zhang X, Cai H, Teng Y. AIDMAN: An AI-based object detection system for malaria diagnosis from smartphone thin-blood-smear images. Patterns (N Y). 2023 Aug 3;4(9):100806. doi: 10.1016/j.patter.2023.100806. PMID: 37720337; PMCID: PMC10499858.