Malaria Screener

Photo montage of Malaria Screener project

Malaria is caused by parasites that are transmitted through the bites of infected mosquitoes. With about 200 million cases worldwide, and about 400,000 deaths per year, malaria is a major burden on global health. Most deaths occur among children in Africa, where a child dies almost every minute from malaria, and where malaria is a leading cause of childhood neuro-disability. Typical symptoms of malaria include fever, fatigue, headaches, and in severe cases seizures, coma, and death.


Poostchi M, Silamut K, Maude RJ, Jaeger S, Thoma GR. Image analysis and machine learning for detecting malaria. Translational Research, 2018.
Abstract | PDF

Moallem G, Poostchi M, Yu H, Silamut K, Palaniappan N, Antani SK, Hossain Md Amir, Maude RJ, Jaeger S, Thoma GR. Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. Applied Imagery Pattern Recognition Workshop (AIPR), 2017
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R Sivaramakrishnan, Antani SK, Jaeger S. Visualizing Deep Learning Activations for Improved Malaria Cell Classification. Proceedings of The First Workshop in Medical Informatics and Healthcare (MIH 2017), Proceedings of Machine Learning Research (PMLR), v. 69, p. 40-47.
Abstract | PDF

Liang Z, Powell A, Ersoy I, Poostchi M, Silamut K, Palaniappan K, Guo P, Hossain M, Antani SK, Maude R, Huang J, Jaeger S, Thoma GR. CNN-Based Image Analysis for Malaria Diagnosis. IEEE International Conference on Bioinformatics & Biomedicine (BIBM), Shenzhen, China, 2016.
Abstract | PDF

Stefan Jaeger
Hang Yu
Sema Candemir
Sameer Antani
George Thoma
Abhisheka Bansal (NIAID)
Rick Fairhurst (NIAID)

Extramural Researchers:
Kamolrat Silamut (Mahidol University, Thailand)
Richard Maude (University of Oxford, UK)
Kannappan Palaniappan (University of Missouri)
Ilker Ersoy (University of Missouri)
Mahdieh Poostchi (University of Missouri)