Fu et al., 2023 Image Dataset
Article Title: An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism
Article Link: ref
Description
It is a thin blood smear image dataset.
Demography
- Country: China
- Study Area: Department of Schistosomiasis and Endemic Diseases, Wuhan City Center
- Age: 18 - 75 years old
- Number of patients: 100 patients
- Parasite’s species: Plasmodium vivax, Plasmodium falciparum, Plasmodium ovale, Plasmodium malariae
Imaging Technique
- Optical Train: Microscope
- Number of Images: 42,787 blood slice images
Dataset Availability
| Status | Corresponding Author | DOI |
|---|---|---|
| Available on Request | Min Fu (narcissist_fm@163.com) | 10.3389/fmed.2023.1117192 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Fu M, Wu K, Li Y, Luo L, Huang W, Zhang Q. An intelligent detection method for plasmodium based on self-supervised learning and attention mechanism. Front Med (Lausanne). 2023 Jun 29;10:1117192. doi: 10.3389/fmed.2023.1117192. PMID: 37457573; PMCID: PMC10345499.