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Paper Title: Automated image processing method for the diagnosis of malaria on blood smears using SVM classifier
Authors Name: Sayali N. Dharpal , Dr.A.V. Malviya
Unique Id: IJRTI1809004
Published In: Volume 3 Issue 9, August-2018
Abstract: Malaria is a serious disease caused by a blood parasite named Plasmodium. The World Health Organization calculates 300-500 million intestinal sickness cases and in excess of 1 million passings for every year. Manual counting and classifications of contaminated erythrocytes is a time-consuming and relentless process. This proposed system help to develop a completely automatic system for classification of Malaria parasite infected erythrocytes are sectioned from the pre-processed images. Statistical and color features are extracted and given to the SVM binary classifier which characterizes Malaria infected erythrocytes on blood smears.
Keywords: Malaria, erythrocyte, Parasite, Feature Extraction , SVM classifier.
Cite Article: "Automated image processing method for the diagnosis of malaria on blood smears using SVM classifier", International Journal of Science & Engineering Development Research (, ISSN:2455-2631, Vol.3, Issue 9, page no.16 - 22, August-2018, Available :
Downloads: 000853
Publication Details: Published Paper ID: IJRTI1809004
Registration ID:180445
Published In: Volume 3 Issue 9, August-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
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