Welcome to the InfoSci Platform
Reference Hub3
Malaria Parasites Detection Using Deep Neural Network

Malaria Parasites Detection Using Deep Neural Network

Biswajit Jena, Pulkit Thakar, Vedanta Nayak, Gopal Krishna Nayak, Sanjay Saxena
Copyright: © 2021 |Pages: 14
ISBN13: 9781799850717|ISBN10: 1799850714|EISBN13: 9781799850724
DOI: 10.4018/978-1-7998-5071-7.ch009
Cite Chapter Cite Chapter

MLA

Jena, Biswajit, et al. "Malaria Parasites Detection Using Deep Neural Network." Deep Learning Applications in Medical Imaging, edited by Sanjay Saxena and Sudip Paul, IGI Global, 2021, pp. 209-222. https://doi.org/10.4018/978-1-7998-5071-7.ch009

APA

Jena, B., Thakar, P., Nayak, V., Nayak, G. K., & Saxena, S. (2021). Malaria Parasites Detection Using Deep Neural Network. In S. Saxena & S. Paul (Eds.), Deep Learning Applications in Medical Imaging (pp. 209-222). IGI Global. https://doi.org/10.4018/978-1-7998-5071-7.ch009

Chicago

Jena, Biswajit, et al. "Malaria Parasites Detection Using Deep Neural Network." In Deep Learning Applications in Medical Imaging, edited by Sanjay Saxena and Sudip Paul, 209-222. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-5071-7.ch009

Export Reference

Mendeley
Favorite

Abstract

Malaria is a dreadful infectious disease caused by the bite of female Anopheles mosquito, by the protozoan parasites of the genus Plasmodium. It's an epidemic disease and demands rapid and accurate diagnosis for proper intervention. Microscopic test on the thick and thin blood smear to detect the malaria and counts the infected cells is the gold standard for diagnosis of this disease. An automation process in the form of computer-aided diagnosis is much needed as it plays a vital role in fully or semi-automated diagnosis of diseases based on medical image information. Deep learning has vast ranging applications. This work is to build a convolutional neural network to expertly detect the presence of malaria parasitized cells in the thin blood smear. The authors construct the model as small and computationally efficient to obtain the highest level of accuracy possible.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.