Fast automated cell phenotype image classification

BMC Bioinformatics

Volumn 8, Issue , 2007, Pages

  Hamilton, Nicholas A ^a   Pantelic, Radosav S ^a   Hanson, Kelly ^a   Teasdale, Rohan D ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; COMPUTATIONAL IMAGE ANALYSIS; COMPUTATIONAL TECHNIQUE; FLUORESCENT MICROSCOPY; IMAGE STATISTICS; INDIVIDUAL CELLS; MICROSCOPE IMAGING; SUB-CELLULAR LOCALISATION;

AUTOMATION; HIGHER ORDER STATISTICS; PIXELS; PROTEINS; STATISTICS;

IMAGE CLASSIFICATION;

ACCURACY; ARTICLE; AUTOMATION; CALCULATION; CELLULAR DISTRIBUTION; CONTROLLED STUDY; CYTOSKELETON; ENDOPLASMIC RETICULUM; FLUORESCENCE ANALYSIS; GENETIC ALGORITHM; GENETIC TRANSFECTION; IMAGE ANALYSIS; MICROTUBULE; PHENOTYPE; PROTEIN EXPRESSION; PROTEIN LOCALIZATION; STATISTICS; SUPPORT VECTOR MACHINE; BIOLOGY; CELL FRACTIONATION; CLASSIFICATION; COMPUTER PROGRAM; IMAGE PROCESSING; METHODOLOGY; ULTRASTRUCTURE;

COMPUTATIONAL BIOLOGY; IMAGE PROCESSING, COMPUTER-ASSISTED; PHENOTYPE; SOFTWARE; SUBCELLULAR FRACTIONS;

EID: 34147187876     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-110     Document Type: Article

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