Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans

PLoS Computational Biology

Volumn 11, Issue 4, 2015, Pages

  Zhan, Mei ^a   Crane, Matthew M ^a   Entchev, Eugeni V ^b   Caballero, Antonio ^b   Fernandes de Abreu, Diana Andrea ^b   Ch’ng, QueeLim ^b   Lu, Hang ^a,c  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

^b KING'S COLLEGE LONDON   (United Kingdom)

^c Georgia Institute of Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA HANDLING; FLUORESCENCE IMAGING; IMAGE PROCESSING; SUPPORT VECTOR MACHINES;

AUTOMATED PROCESSING; BIOLOGICAL DISCOVERIES; BIOLOGICAL STRUCTURES; CAENORHABDITIS ELEGANS; CLINICAL DIAGNOSTICS; HIGH THROUGHPUT EXPERIMENTATION; IMAGING DATA; IMAGING MODALITY; MULTI-TIERED; QUANTITATIVE IMAGING;

AUTOMATION;

ARTICLE; AUTOMATION; CAENORHABDITIS ELEGANS; CALCULATION; CALIBRATION; CELL LABELING; FLUORESCENCE IMAGING; IMAGE PROCESSING; MATHEMATICAL ANALYSIS; NERVE CELL; NONHUMAN; PROBABILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDITY; ALGORITHM; ANATOMY AND HISTOLOGY; ANIMAL; AUTOMATED PATTERN RECOGNITION; CELL TRACKING; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; FLUORESCENCE MICROSCOPY; HEAD; MACHINE LEARNING; MULTIMODAL IMAGING; PROCEDURES; REPRODUCIBILITY;

ANIMALIA; CAENORHABDITIS ELEGANS; POLYGALA INCARNATA;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; CELL TRACKING; HEAD; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MICROSCOPY, FLUORESCENCE; MULTIMODAL IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84929493555     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004194     Document Type: Article

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