Malaria Disease Detection Based On Segmentation And Classification Of A Cell Image

Authors

  • Arnob Chowdhury, Kamal Gupta, Bhavya Sharma, Medhavi Malik

Abstract

Malaria is a hazardous mosquito-borne disease. It's commonly transmitted through the bite of an infected plasmodium carrying Anopheles mosquito. Nowadays medical imaging techniques are playing a predominant role in detection of various illnesses like tumours, cancer, infected bites and many more. This study is aimed to present a way to easily identify a plasmodium infected cell using computational techniques. This will be achieved through proper image processing techniques through which the spots on cell will be properly segmented using active contour segmentation and the processed image will be passed to the supervised learning model for better classifying if the cell is parasitized or uninfected. The results achieved through the proposed method will provide effective automated detection of the parasite in the blood sample

Published

2020-11-01

Issue

Section

Articles