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  1. Home
  2. Volume 7, Issue 9
  3. Authors

Online ISSN: 2515-8260

Volume7, Issue9

MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER

    R. Charanya J. Josphin Mary G. Sridevi V. Shanthi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 9, Pages 1422-1425
10.31838/ejmcm.07.09.149

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Abstract

Plasmodium is a type of unicellular eukaryote compulsory for vertebrates or insect parasites. The early diagnosis is required for malaria. In this study, the automatic classification of malaria system is discussed. Initially, the input images are given to gaussian filter, then energy feature is used for feature extraction and K-Nearest Neighbor (KNN) classifier is used for classification. The performance of malaria system produces the specificity of classification 93%using KNN classifier.
Keywords:
    Malarial parasite Gaussian filter Energy feature extraction KNN classifier
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(2020). MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER. European Journal of Molecular & Clinical Medicine, 7(9), 1422-1425. doi: 10.31838/ejmcm.07.09.149
R. Charanya; J. Josphin Mary; G. Sridevi; V. Shanthi. "MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER". European Journal of Molecular & Clinical Medicine, 7, 9, 2020, 1422-1425. doi: 10.31838/ejmcm.07.09.149
(2020). 'MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER', European Journal of Molecular & Clinical Medicine, 7(9), pp. 1422-1425. doi: 10.31838/ejmcm.07.09.149
MALARIA PARASITE CLASSIFICATION USING ENERGY BASED KNN CLASSIFIER. European Journal of Molecular & Clinical Medicine, 2020; 7(9): 1422-1425. doi: 10.31838/ejmcm.07.09.149
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