A semi-automatic method for quantification and classification of erythrocytes infected with malaria parasites in microscopic images

Journal of Biomedical Informatics

Volumn 42, Issue 2, 2009, Pages 296-307

  Díaz, Gloria ^a   González, Fabio A ^a   Romero, Eduardo ^a  

^a UNIVERSIDAD NACIONAL DE COLOMBIA   (Colombia)

Author keywords

Automatic quantification; Cell classification; Class imbalance; Classifier evaluation; Clump splitting; Connected operators; Feature extraction; Inclusion Tree; Life stage classification; Machine learning; Malaria parasites; Multi class classifiers; Pixel color classification; Plasmodium falciparum

Indexed keywords

AUTOMATIC QUANTIFICATION; CELL CLASSIFICATION; CLASS IMBALANCE; CLASSIFIER EVALUATION; CLUMP SPLITTING; CONNECTED OPERATORS; LIFE STAGE CLASSIFICATION; MACHINE LEARNING; MALARIA PARASITES; MULTI-CLASS CLASSIFIERS; PIXEL COLOR CLASSIFICATION; PLASMODIUM FALCIPARUM;

AUTOMATION; BLOOD; CLASSIFIERS; COLOR; COLOR IMAGE PROCESSING; COLOR PRINTING; ELECTRONIC DATA INTERCHANGE; FEATURE EXTRACTION; IMAGE ENHANCEMENT; ROBOT LEARNING;

PIXELS;

ARTICLE; AUTOMATION; BLOOD SMEAR; ELECTRON MICROSCOPY; ERYTHROCYTE; HISTOLOGY; HUMAN; HUMAN CELL; IMAGE ANALYSIS; LIFE CYCLE; MALARIA; NONHUMAN; PARASITE DEVELOPMENT; PARASITEMIA; PATTERN RECOGNITION; PLASMODIUM FALCIPARUM; PRIORITY JOURNAL;

ANIMALS; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; ERYTHROCYTES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MALARIA, FALCIPARUM; MICROSCOPY; PARASITEMIA; PATTERN RECOGNITION, AUTOMATED; PLASMODIUM FALCIPARUM; SENSITIVITY AND SPECIFICITY;

AUTOMATION; CLASSIFICATION; CLASSIFIERS; CLUMPS; COLOR PRINTING; EDI; IMAGE QUALITY; INCLUSIONS; INFORMATION SYSTEMS; PARASITES;

EID: 62149118688     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2008.11.005     Document Type: Article

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