Active graph matching for automatic joint segmentation and annotation of C. elegans

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

Volumn 8673 LNCS, Issue PART 1, 2014, Pages 81-88

  Kainmueller, Dagmar ^a   Jug, Florian ^a   Rother, Carsten ^b   Myers, Gene ^a  

^a MAX PLANCK INSTITUTE OF MOLECULAR CELL BIOLOGY AND GENETICS   (Germany)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; DEFORMATION; HOUGH TRANSFORMS; ITERATIVE METHODS; MEDICAL COMPUTING;

ACTIVE GRAPH MATCHING; ACTIVE SHAPE MODELS; ENERGY MINIMIZATION TECHNIQUES; GENERALIZED HOUGH TRANSFORM; JOINT SEGMENTATION; LOCAL DEFORMATION MODEL; MICROSCOPIC IMAGE; STATISTICAL DEFORMATION MODELS;

ITERATIVE METHODS; MEDICAL IMAGING;

ALGORITHM; ANIMAL; ARTICLE; AUTOMATED PATTERN RECOGNITION; CAENORHABDITIS ELEGANS; CELL NUCLEUS; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; ANIMALS; CAENORHABDITIS ELEGANS; CELL NUCLEUS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MICROSCOPY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84906977954     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10404-1_11     Document Type: Conference Paper

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