Detection of Plasmodium Falciparum in Peripheral Blood Smear Images
Malaria is a mosquito-borne infectious disease caused by the parasite Plasmodium, which requires accurate and early diagnosis for effective containment. In order to diagnose malaria in a patient, timely detection of malaria parasites in blood smear images is vital. The traditional methods are time–consuming, tedious and the quality of detection is highly subjective to the individual who performs the analysis. These results can clearly be improved upon by using image processing techniques. The malaria parasite appears in four stages, namely the ring, trophozoite, schizont, and gametocyte. The ring and the gametocyte stage are the ones seen in a peripheral blood smear and hence detecting these two stages, would help in the accurate diagnosis of malaria. The proposed work aims at automating the analysis of the blood smear images using appropriate segmentation techniques, thereby detecting infected red blood cells as well as the gametocytes found in the blood.
KeywordsPlasmodium Chromatin dots Gametocytes Segmentation Morphology
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The authors would like to thank the Centre for Applicable Mathematics and Systems Science (CAMSS), Department of Computer Science, Liverpool Hope University, UK for the support and funding towards this project work and the Department of Pathology, CMC, Vellore, India for providing them with sample images for the study. The authors also thank Miss Maqlin P. and Dickson Jebaraj, Madras Christian College, Chennai, for their contribution towards the development of the system that performs automatic segmentation of malaria parasites in blood smear images.
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