Journal of Health & Medical Informatics

Tinku Acharyad

Publications

• Research Article
  A Combined Algorithm for Malaria Detection from Thick Smear Blood Slides
  Author(s): Kaushik Chakrabortya, Arnab Chattopadhyayb, Amlan Chakrabarti, Tinku Acharyad and Anjan Kr DasguptaeKaushik Chakrabortya, Arnab Chattopadhyayb, Amlan Chakrabarti, Tinku Acharyad and Anjan Kr Dasguptae
  
  Abstract Thick blood smear examination is a necessary part for rapid screening of malaria parasite. Primary diagnosis of malaria by thick smear examination is cheap and highly sensitive, advocated by the World Health Organization (WHO). For the examination of thick blood smear, manpower and time can be reduced by using automated computational techniques. These techniques would facilitate such detection that are usually based on morphology and in few cases on analysis of colors. In this work, we propose a combined algorithm consisting of morphological operations and color based pixel discrimination technique to identify malaria parasites from thick smear images of Plasmodium vivax. Using morphological operation segmentation of cells from thick blood smear image is done and color based pixel discriminator distinguished malaria cells from segmented image. Evaluation of percentage of dete.. Read More»
  DOI: 10.4172/2157-7420.1000179

  Abstract PDF