Plasmodium falciparum Blood Smear Images

These datasets contain images with Plasmodium falciparum as the species of interest. Plasmodium falciparum is a parasite that causes the most severe form of malaria in humans.

It is the most prevalent species of Plasmodium parasite. This parasite is particularly prevalent in sub-Saharan Africa, where it accounts for the majority of malaria-related deaths.

Datasets

• Quinn et al., 2023 Image Dataset - This is a thick blood smear, field-stained, and has a total of 2703 images.

• Manescu et al., 2020 Image Dataset - It is a thick blood smear and Giemsa-stained image dataset.

• Delgado-Ortet et al., 2020 Image Dataset - It is a thin blood smear, MGG-stained image dataset.

• National Institute of Health Plasmodium falciparum Dataset - It is a thin and thick, Giemsa-stained blood smear image dataset.

• Aladago et al., 2019 Image Dataset - This is a thin, Giemsa-stained image dataset that consists of 403 images.

• Dantas Oliveira et al., 2018 Image Dataset - This is a thin, Giemsa-stained blood smear image and contains 50 images.

• Preedanan et al., 2016 Image Dataset - This is a thin, Giemsa-stained dataset with 15 images.

• Linder et al., 2014 Image Dataset - This is a thin, Giemsa-stained blood smear image dataset.

• National Reference Center Image Dataset - This is a thin, Giemsa-stained blood smear image dataset with 1250 images.

• Davidson et. al., 2021 Image Dataset - It is a thin, Giemsa-stained blood smear image dataset with 108 images.

• Loh et al., 2020 Image Dataset - It is a Giemsa-stained blood smear image dataset.

• Taiwan Images for Malaria Eradication (TIME) - It is a thin, Giemsa-stained malaria image dataset.

• Tantisatirapong & Phothisonothai, 2018 Image Dataset - It is a thin, Giemsa-stained blood smear image dataset.

• Kudisthalert et al., 2020 Image Dataset - This is a thin, Giemsa-stained blood smear image dataset

• Vijayalakshmi & Rajesh, 2019 Image Dataset - It is a thin, Giemsa-stained blood smear image dataset.

• Pathology Education Informational Resource (PEIR) Digital Library - It is a thin blood smear whole slide image dataset.

• Adi et al., 2016 Image Dataset - It is a blood smear image dataset.

• Kanakasabapathy et al., 2021 Image Dataset - This is a thin, Giemsa-stained blood smear image dataset.