Optimized PatchMatch for near real time and accurate label fusion

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

Volumn 8675 LNCS, Issue PART 3, 2014, Pages 105-112

  Ta, Vinh Thong ^a,b,c   Giraud, Rémi ^a,b,c   Collins, D Louis ^d   Coupé, Pierrick ^a,b  

^a UNIVERSITÉ DE BORDEAUX   (France)

^b CNRS   (France)

^c UNIVERSITÉ BORDEAUX 1   (France)

^d MCGILL UNIVERSITY   (Canada)

Author keywords

Hippocampus; Patch based Segmentation; PatchMatch

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

ANATOMICAL STRUCTURES; AUTOMATIC SEGMENTATIONS; HIPPOCAMPUS; HIPPOCAMPUS SEGMENTATION; PATCH-BASED METHODS; PATCHMATCH; SEGMENTATION ACCURACY; STATE-OF-THE-ART METHODS;

MAGNETIC RESONANCE IMAGING;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; COMPUTER SYSTEM; HIPPOCAMPUS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REFERENCE VALUE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; COMPUTER SYSTEMS; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SUBTRACTION TECHNIQUE;

EID: 84906969159     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10443-0_14     Document Type: Conference Paper

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