期刊名称：International Journal of Computer Science and Engineering
印刷版ISSN：2278-9960
电子版ISSN：2278-9979
出版年度：2020
卷号：7
期号：2
页码：68-70
DOI：10.14445/23488387/IJCSE-V7I2P108
出版社：IASET Journals
摘要：Malaria is mosquito-borne blood disease
caused by protozoan parasites of the genus
Plasmodium. The Conventional diagnostic tool for
malaria is the examination of a stained blood cell of
a patient in microscope which is time consuming and
dependent on the experience of a pathologist. In this
project, an improved image processing system along
with different machine learning algorithms for
detection of parasites is proposed. On
implementation we found the accuracy of the model
varying from 85% to 90% for different algorithms.
This model has increased the efficiency of malaria
parasite detection and minimizes the human
intervention during the detection process.
