ISSN 2394-5125
 

Research Article 


MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur.

Abstract
In whole lifespan most frightening disease malaria is a female anopheles’ mosquito bite and
which is also considered as widespread in many parts of the world. This paper emphasizes enhancing malaria
detection from patches that are segmented from red blood cell digitized microscopic images by incorporating
deep neural networks. Related to the clinical procedures that use tedious manual extraction of feature, the
proposed technique practices deep learning technique which takes features from pixels and classify straight
from the segmented patche of the red blood cell. The dataset used for this study is taken from Kaggle, online
database. The evaluation metric accuracy and sensitivity is used to compute the best performing architecture. In
addition, several other performance metrics have also been used. The best model achieves an accuracy of 97.9
and sensitivity of 96.2.

Key words: Deep learning, malaria classification, convolutional neural network, wholeslide images, red blood cells, CNN architecture


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Swati Singh
Articles by Isha Gupta
Articles by Swapandeep Kaur
Articles by Gurjinder Kaur
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. JCR. 2020; 7(16): 3119-3127. doi:10.31838/jcr.07.16.400


Web Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. http://www.jcreview.com/?mno=132091 [Access: May 31, 2021]. doi:10.31838/jcr.07.16.400


AMA (American Medical Association) Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. JCR. 2020; 7(16): 3119-3127. doi:10.31838/jcr.07.16.400



Vancouver/ICMJE Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. JCR. (2020), [cited May 31, 2021]; 7(16): 3119-3127. doi:10.31838/jcr.07.16.400



Harvard Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur (2020) MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. JCR, 7 (16), 3119-3127. doi:10.31838/jcr.07.16.400



Turabian Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. 2020. MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. Journal of Critical Reviews, 7 (16), 3119-3127. doi:10.31838/jcr.07.16.400



Chicago Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. "MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS." Journal of Critical Reviews 7 (2020), 3119-3127. doi:10.31838/jcr.07.16.400



MLA (The Modern Language Association) Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur. "MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS." Journal of Critical Reviews 7.16 (2020), 3119-3127. Print. doi:10.31838/jcr.07.16.400



APA (American Psychological Association) Style

Swati Singh, Isha Gupta, Swapandeep Kaur, Gurjinder Kaur (2020) MALARIA DETECTION USING DEEP CONVOLUTIONAL NEURAL NETWORKS. Journal of Critical Reviews, 7 (16), 3119-3127. doi:10.31838/jcr.07.16.400