Comparison of parameter-adapted segmentation methods for fluorescence micrographs

Cytometry Part A

Volumn 79 A, Issue 11, 2011, Pages 933-945

  Held, Christian ^a,b   Palmisano, Ralf ^b   Häberle, Lothar ^b   Hensel, Michael ^b,c   Wittenberg, Thomas ^a  

^a FRAUNHOFER INSTITUTE FOR INTEGRATED CIRCUITS IIS   (Germany)

^b UNIVERSITY HOSPITAL ERLANGEN   (Germany)

^c UNIVERSITY OF OSNABRÜCK   (Germany)

Author keywords

Cell segmentation; Evaluation; Fluorescence imaging; Genetic algorithm; Image analysis; Optimization; Watershed

Indexed keywords

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; FLUORESCENCE; FLUORESCENCE MICROSCOPY; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; METHODOLOGY; MOUSE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STAINING; TUMOR CELL LINE;

ALGORITHMS; ANIMALS; CELL LINE, TUMOR; FLUORESCENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; MICE; MICROSCOPY, FLUORESCENCE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STAINING AND LABELING;

EID: 80054943799     PISSN: 15524922     EISSN: 15524930     Source Type: Journal    
DOI: 10.1002/cyto.a.21122     Document Type: Article

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