Delas Peñas et al., 2018 Image Dataset
Article Title: Analysis of Convolutional Neural Networks and Shape Features for Detection and Identification of Malaria Parasites on Thin Blood Smears
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Description
This is a thin blood smear image dataset
Demography
- Country: Philippines
- City: Palawan
- Study Location: College of Public Health, University of Philippines.
- Parasite’s species: Plasmodium vivax, Plasmodium falciparum.
Imaging Technique
- Optical Train: Digital single-lens reflex camera attached to a microscope
- Magnification: 100× with oil immersion
- Image Resolution: 2592×1944 pixels.
- Number of Images: 363 images
Dataset Availability
| Corresponding Author | DOI |
|---|---|
| Prospero C. Naval Jr. (pcnaval@dcs.upd.edu.ph) | 10.1007/978-3-319-75420-8_45 |
Cite this Article
❗🛑 If you are using this resource, please cite:
Delas Peñas, K., Rivera, P.T., Naval, P.C. (2018). Analysis of Convolutional Neural Networks and Shape Features for Detection and Identification of Malaria Parasites on Thin Blood Smears. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10752. Springer, Cham. https://doi.org/10.1007/978-3-319-75420-8_45