Automated training data generation for microscopy focus classification

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 446-453

  Gao, Dashan ^a   Padfield, Dirk ^a   Rittscher, Jens ^a   McKay, Richard ^b  

^a GE GLOBAL RESEARCH   (United States)

^b Omnyx   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL MICROSCOPES; IMAGE FEATURES; IMAGE FOCUS; IMAGE STACKS; OUT-OF-FOCUS; POTENTIAL PROBLEMS; TRAINING DATA;

CLASSIFIERS; DATA ACQUISITION; DIGITAL DEVICES; MEDICAL COMPUTING;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883840054     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_55     Document Type: Conference Paper

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