Automatic tracking, feature extraction and classification of C. elegans phenotypes

IEEE Transactions on Biomedical Engineering

Volumn 51, Issue 10, 2004, Pages 1811-1820

  Geng, Wei ^a,b   Cosman, Pamela ^a   Berry, Charles C ^c   Feng, Zhaoyang ^c   Schafer, William R ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b ID Analytics Inc   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

C. elegans; Classification; Computer vision; Data mining; Feature extraction; Image processing; Random Forests; Tracking

Indexed keywords

ALGORITHMS; COMPUTER VISION; ERROR ANALYSIS; FEATURE EXTRACTION; IMAGE ANALYSIS; MEDICINE;

ELEGANS TRACKING; MUTANT TYPES; OUT-OF-BAG (OOB) ERROR RATES; WORM'S MOVEMENTS;

BIOMEDICAL ENGINEERING;

ALGORITHM; ANALYTICAL ERROR; ANIMAL EXPERIMENT; ARTICLE; AUTOMATION; BODY MOVEMENT; BODY POSTURE; CAENORHABDITIS ELEGANS; CLASSIFICATION; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE PROCESSING; MUTANT; NONHUMAN; WORM;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CAENORHABDITIS ELEGANS; HEAD; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LOCOMOTION; MICROSCOPY, VIDEO; MOVEMENT; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPECIES SPECIFICITY; TAIL;

EID: 4644232465     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2004.831532     Document Type: Article

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