G. Madhu

Department of Information Technology VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad - 500090, India

J. Innovation Sciences and Sustainable Technologies, 1(1)(2021), 39-52.

Received in final form on January 22, 2021

Abstract
Malaria is a serious epidemic infectious disease caused by Plasmodium falciparum. It is a fundamental human malaria parasite that can cause serious illnesses, thus a delay in the precise treatment can lead to major difficulties of severe malaria that includes coma or death. This research develops deep capsule networks along with a modified routing strategy that is fascinating due to their better performance for the classification of blood images when compared with the other deep neural networks and tested on malaria blood images. The experimental results of this network show a better performance for classification of malaria parasite and non-malaria from blood images to aid in improved diagnosis.

Keywords
Deep learning, Capsule networks, Routing algorithm, Malaria

Cite This Article
G. Madhu, A Diagnostic Model for Malaria Parasite Detection from Thin Blood Smear Images using Neural Networks, J. Innovation Sciences and Sustainable Technologies, 1(1) (2021), 39-52. https://doie.org/10.0608/JISST.2022524258

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