Guide-wire extraction through perceptual organization of local segments in fluoroscopic images

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 440-448

  Honnorat, Nicolas ^a,b,c   Vaillant, Régis ^c   Paragios, Nikos ^a,b  

^a ECOLE CENTRALE PARIS   (France)

^b INRIA SACLAY   (France)

^c GE HEALTHCARE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

2D IMAGES; ANATOMICAL STRUCTURES; FLUOROSCOPIC IMAGES; GUIDE-WIRE; LOCAL SEARCH ALGORITHM; LOW SIGNAL-TO-NOISE RATIO; MACHINE LEARNING TECHNIQUES; PERCEPTUAL ORGANIZATION; SURGICAL DEVICES; UNSUPERVISED CLUSTERING;

IMAGE SEGMENTATION; LEARNING ALGORITHMS; MEDICAL COMPUTING; SIGNAL TO NOISE RATIO; TRANSPLANTATION (SURGICAL); WIRE;

MEDICAL IMAGING;

ALGORITHM; ANGIOPLASTY; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; INSTRUMENTATION; INTERVENTIONAL RADIOLOGY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANGIOPLASTY; HUMANS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, INTERVENTIONAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84874857108     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_55     Document Type: Conference Paper

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