R-PLUS: A Riemannian anisotropic edge detection scheme for vascular segmentation

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 262-269

  Gooya, Ali ^a   Dohi, Takeyoshi ^a   Sakuma, Ichiro ^a   Liao, Hongen ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CURVE EVOLUTION; FLUX MAXIMIZING; LEAKAGE MINIMIZATION; LOCAL STRUCTURE TENSORS; RIEMANNIAN MANIFOLD; VESSEL SEGMENTATION;

ANISOTROPY; COMPUTER SCIENCE; MEDICAL COMPUTING;

EDGE DETECTION;

ALGORITHM; ANISOTROPY; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

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

EID: 83155179221     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_32     Document Type: Conference Paper

References (11)

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