Detection of Plasmodium Parasites from Images of Thin Blood Smears using Artificial Neural Networks
Dalia Mahmoud Adam, Abdalla Eltoum Ali · American Scientific Research Journal for Engineering, Technology, and Sciences (Global Society of Scientific Research and Researchers) · 2016
Despite all the efforts of all associations and health organizations around the world, the infections and deaths from the malaria disease are remain high, especially in the developing countries. Accurate and correct diagnosis of malaria helps in getting the appropriate treatment. This paper contains a design for automatic diagnostic system for malaria using Artificial Neural Networks (ANNs). Different image samples negative and positive were collected, and then ANN was designed and trained on it. The ANN type was Elman network and it achieved excellent performance in the test.