Steerable features for statistical 3D dendrite detection

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 625-632

  González, Germán ^a   Aguet, François ^a   Fleuret, François ^a,b   Unser, Michael ^a   Fua, Pascal ^a  

^a EPFL   (Switzerland)

^b IDIAP RESEARCH INSTITUTE   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

3-D IMAGE; COMPUTATIONAL COSTS; EIGENVALUES; FILAMENT DETECTION; HESSIAN MATRICES; HIGHER ORDER; IRREGULAR STRUCTURES; LINEAR STRUCTURES; NOISY DATA; ROTATIONALLY INVARIANT FEATURES; STATE-OF-THE-ART ALGORITHMS; STATE-OF-THE-ART METHODS; STEERABLE FILTERS;

ARTS COMPUTING; EIGENVALUES AND EIGENFUNCTIONS; MEDICAL COMPUTING; PIXELS;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; DENDRITE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MICROSCOPY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; ULTRASTRUCTURE;

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

EID: 79958168615     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_76     Document Type: Conference Paper

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