Pattern recognition for high throughput zebrafish imaging using genetic algorithm optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6282 LNBI, Issue , 2010, Pages 301-312

  Nezhinsky, Alexander E ^a   Verbeek, Fons J ^a  

^a LEIDEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED PROCESSING; BRIGHTFIELD; DEFORMABLE TEMPLATES; GENETIC-ALGORITHM OPTIMIZATIONS; HIGH-THROUGHPUT; HIGH-THROUGHPUT ANALYSIS; HIGH-THROUGHPUT APPROACHES; HUMAN INTERVENTION; IMAGE-BASED; MULTICHANNEL IMAGES; MULTIPLE INSTANCES; MULTIPLE ORIENTATIONS; OPTIMIZATION PROCEDURES; PATTERN RECOGNITION PROBLEMS; REAL-LIFE IMAGES; ZEBRAFISH; ZEBRAFISH EMBRYOS; DIFFERENT TREATMENTS; THROUGHPUT ANALYSIS;

BIOINFORMATICS; GENETIC ALGORITHMS; OPTIMIZATION; THROUGHPUT; IMAGE ANALYSIS;

PATTERN RECOGNITION;

EID: 78049476608     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16001-1_26     Document Type: Conference Paper

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