Automatic segmentation and classification of human intestinal parasites from microscopy images

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 3, 2013, Pages 803-812

  Suzuki, Celso T N ^a   Gomes, Jancarlo F ^a   Falcão, Alexandre X ^a   Papa, João P ^b   Hoshino Shimizu, Sumie ^c  

^a UNIVERSITY OF CAMPINAS   (Brazil)

^b SÃO PAULO STATE UNIVERSITY UNESP   (Brazil)

^c UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Image foresting transform (IFT); Image segmentation; Intestinal parasitosis; Microscopy image analysis; Optimumpath forest (OPF) classifier; Pattern recognition

Indexed keywords

AUTOMATIC IMAGE ANALYSIS; AUTOMATIC SEGMENTATIONS; BRIGHT-FIELD MICROSCOPY; COMPUTATIONAL IMAGE ANALYSIS; IMAGE FORESTING TRANSFORMS; INTESTINAL PARASITOSIS; MICROSCOPY IMAGE ANALYSIS; OPTIMUM-PATH FORESTS;

FORESTRY; GENETIC PROGRAMMING; IMAGE ANALYSIS; OBJECT RECOGNITION; PATTERN RECOGNITION;

IMAGE SEGMENTATION;

ANCYLOSTOMATIDAE; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASCARIS LUMBRICOIDES; AUTOMATIC SEGMENTATION; AUTOMATION; BIOMEDICAL ENGINEERING; BLASTOCYSTIS HOMINIS; BRAZIL; BRIGHT FIELD MICROSCOPY; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; ENDOLIMAX NANA; ENTAMOEBA COLI; ENTAMOEBA HISTOLYTICA; ENTEROBIUS VERMICULARIS; FECES; GENETIC PROGRAMMING; GIARDIA LAMBLIA; HELMINTH; HYMENOLEPIS DIMINUTA; HYMENOLEPIS NANA; IMAGE ANALYSIS; IMAGE FORESTING TRANSFORM; IMAGE PROCESSING; INTESTINE PARASITE; IODAMOEBA BUTSCHLII; LARVA; MICROSCOPE IMAGE; NONHUMAN; OPTIMUM PATH FOREST CLASSIFIER; PARASITE; PARASITE IDENTIFICATION; PATTERN RECOGNITION; PHYSICAL PARAMETERS; PROTOZOAN CYST; PROTOZOON; SCHISTOSOMA MANSONI; STRONGYLOIDES STERCORALIS; SUPPORT VECTOR MACHINE; TAENIA; TRICHURIS TRICHIURA;

ANIMALS; FECES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; INTESTINAL DISEASES, PARASITIC; MICROSCOPY; PARASITES; PATTERN RECOGNITION, AUTOMATED;

FORESTRY; IMAGE ANALYSIS;

EID: 84884553022     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2187204     Document Type: Article

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