Automatic neuron tracing in volumetric microscopy images with anisotropic path searching

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 472-479

  Xie, Jun ^a   Zhao, Ting ^a   Lee, Tzumin ^a   Myers, Eugene ^a   Peng, Hanchuan ^a  

^a HOWARD HUGHES MEDICAL INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARISON METHODS; COMPUTATIONALLY EFFICIENT; GRAPH TREES; MICROSCOPY IMAGES; NEURON FUNCTIONS; NEURONAL STRUCTURE; NOVEL METHODS; PERFORMANCE EVALUATION; STRUCTURE ANALYSIS; TEMPLATE-BASED METHOD; THREE-DIMENSIONAL MICROSCOPY; TRACING PROBLEM;

MEDICAL COMPUTING; MEDICAL IMAGING;

TREES (MATHEMATICS);

ALGORITHM; ANIMAL; ANISOTROPY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CELL CULTURE; COMPUTER ASSISTED DIAGNOSIS; CYTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MICROSCOPY; NERVE CELL; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ANISOTROPY; ARTIFICIAL INTELLIGENCE; CELLS, CULTURED; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MICROSCOPY; NEURONS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84856030241     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_58     Document Type: Conference Paper

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