DevStaR: High-throughput quantification of C. elegans developmental stages

IEEE Transactions on Medical Imaging

Volumn 32, Issue 10, 2013, Pages 1791-1803

  White, Amelia G ^a,b   Lees, Brandon ^b   Kao, Huey Ling ^b   Cipriani, P Giselle ^b   Munarriz, Eliana ^b   Paaby, Annalise B ^b   Erickson, Katherine ^b   Guzman, Sherly ^b   Rattanakorn, Kirk ^b   Sontag, Eduardo ^a   Geiger, Davi ^c   Gunsalus, Kristin C ^b,d   Piano, Fabio ^d  

^a RUTGERS UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

^c POLYTECHNIC UNIVERSITY   (United States)

^d NEW YORK UNIVERSITY ABU DHABI   (United Arab Emirates)

Author keywords

C. elegans; Computer vision; High throughput phenotyping; Object recognition

Indexed keywords

ANIMAL DEVELOPMENT; DEVELOPMENTAL STAGE; ELEGANS; FUNCTIONAL GENOMIC ANALYSIS; HIERARCHICAL OBJECTS; HIGH-THROUGHPUT PHENOTYPING; QUANTITATIVE MEASUREMENT; QUANTITATIVE METHOD;

ANIMALS; COMPUTER VISION; LEARNING SYSTEMS;

OBJECT RECOGNITION;

ACCURACY; ARTICLE; AUTOMATION; CAENORHABDITIS ELEGANS; COMPUTER; COMPUTER PROGRAM; COMPUTER SYSTEM; DEVELOPMENTAL STAGE; HIGH THROUGHPUT SCREENING; IMAGE ANALYSIS; MACHINE LEARNING; NONHUMAN; PARASITE VIABILITY; PHENOTYPE; SIGNAL PROCESSING;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIFE CYCLE STAGES; MICROSCOPY; PHENOTYPE;

EID: 84885115642     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2265092     Document Type: Article

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