An Interactive Mind Map for Malaria Blood Smear Images
Repository Description
Computer-aided diagnosis uses computers and computational tools to analyze and evaluate medical data for diagnosing diseases. Recent advances in research have demonstrated the use of computer-aided diagnosis methods for diagnosing diseases. This repository contains an interactive mind map that makes it easier to navigate all available malaria blood smear image datasets. It is a one-stop shop for researchers and developers working on malaria detection and diagnosis. These datasets were obtained by conducting out a scoping review of papers published between 2013 and 2023 on automated malaria diagnosis.
Visualization of Systematic Review Analysis
71 unique datasets were identified in the review process and they were analyzed based on major categories.
❗🛑 You can use the interactive mindmap at the top of the page or the list of contents to navigate through this repository for different categories of blood smear image datasets for automated malaria diagnosis.
Contents
- Access
- Smear Type
- Stain Type
- Plasmodium Species
- Demography
- All Datasets
- Summary
- Usage
- Contributions
- License
Access
Smear Type
Stain Type
- Field Stain
- Giemsa Stain
- Leishman Stain
- May Grunwald-Giemsa Stain
- Modified Romanowsky Stain
- Wright-Giemsa Stain
Plasmodium Species
Demography
All Datasets
- Aris et al., 2021 Image Dataset
- Davidson et al., 2021 Image Dataset
- Khan et al., 2017 Image Dataset
- National Institute of Health Plasmodium falciparum Image Dataset
- Yoon et al., 2021 Image Dataset
- Yu et al., 2023 Image Dataset
- Dave, 2018 Image Dataset
- Fong Amaris et al., 2022 Image Dataset
- Quinn et al., 2014 Image Dataset
- National Institute of Health Plasmodium vivax Thick Blood Smear Image Dataset
- Salamah et al., 2019 Image Dataset
- de Souza Oliveira et al., 2022 Image Dataset
- Abdul-Nasir et al., 2015 Image Dataset
- Aladago et al., 2019 Image Dataset
- Arshad et al., 2022 Image Dataset
- Cruz et al., 2016 Image Dataset
- Dantas Oliveira et al., 2018 Image Dataset
- Das et al., 2015 Image Dataset
- Delas Peñas et al., 2018 Image Dataset
- Delgado-Ortet et al., 2020 Image Dataset
- Devi et al., 2018 Image Dataset
- Fu et al., 2023 Image Dataset
- Kanafiah et al., 2022 Image Dataset
- Loh et al., 2020 Image Dataset
- MP-IDB: The Malaria Parasite Image Database for Image Processing and Analysis
- Maity et al., 2020 Image Dataset
- Mobile Thin Smear Malaria Parasites (mThinMPs) Image Database
- Molina et al., 2020 Image Dataset
- National Reference Center Dataset
- Nugroho et al., 2014 Image Dataset
- Preedanan et al., 2016
- Rosnelly et al., 2017 Image Dataset
- Sengar et al., 2022 Image Dataset
- SmartMalariaNet
- Sunarko et al., 2017 Image Dataset
- Taiwan Images for Malaria Eradication (TIME) Image Dataset
- The Broad Bioimage Benchmark Collection
- Manescu et al., 2020 Image Dataset
- Nakasi et al., 2021 Image Dataset
- Zhong et al., 2023 Image Dataset
- Linder et al., 2014 Image Dataset
- Wang et al., 2023 Image Dataset
- Hartati et al., 2019 Image Dataset
- Tantisatirapong & Phothisonothai, 2018 Image Dataset
- Sampathila et al., 2018 Image Dataset
- Nugroho et al., 2019 Image Dataset
- Kudisthalert et al., 2020 Image Dataset
- Shi et al., 2020 Image Dataset
- Vijayalakshmi & Rajesh, 2019 Image Dataset
- Pathology Education Informational Resource (PEIR) Digital Library
- Karimi et al., 2014 Image Dataset
- Adi et al., 2016 Image Dataset
- BBLK Image Dataset
- Gh-Lab Image Dataset
- Hung et al., 2015 Image Dataset
- Karimi et al., 2014 Image Dataset
- Krappe et al., 2017 Image Dataset
- PlasmoID Image Dataset
- Rahmanti et al., 2015 Image Dataset
- Sharma et al., 2022 Image Dataset
- Xiong et al., 2015 Image Dataset
- Kanakasabapathy et al., 2021 Image Dataset
- Shaka et al., 2020 Image Dataset
- Lacuna Malaria Detection Challenge Image Dataset
- Muhammad et al., 2025 Image Dataset
- Adebayo et al., 2024 Image Dataset
- Malaria Research Centre, UNIMAS, Sarawak Image Dataset
- Microscopic Images of Parasites Species
- Fundação Oswaldo Cruz (FIOCRUZ) Image Dataset
- Chamidah et al., 2024 Image Dataset
- Özbilge et al., 2024 Image Dataset
Summary
Usage
To use any of the datasets in this repository, simply download the dataset from the corresponding link.
Contributions
If you are aware of any other malaria blood image datasets that are not included in this repository, please feel free to contribute to them by opening a pull request.
License
This work is licensed under a Creative Commons Attribution 4.0 International License.