Spatial consistency in 3D tract-based clustering statistics

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 535-542

  Caan, Matthan ^a,b   Van Vliet, Lucas ^b   Majoie, Charles ^a   Aukema, Eline ^a   Grimbergen, Kees ^a   Vos, Frans ^a,b  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

A-FRAMES; CLUSTER CENTERS; CORPUS CALLOSUM; FIBER TRACTS; MEDULLOBLASTOMA; NONPARAMETRIC CLASSIFICATION; NONRIGID REGISTRATION; NOVEL TECHNIQUES; SPATIAL CONSISTENCY;

COMPUTER SCIENCE; MEDICAL COMPUTING;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CEREBELLUM TUMOR; CHILD; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ENHANCEMENT; MEDULLOBLASTOMA; METHODOLOGY; MYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CEREBELLAR NEOPLASMS; CHILD; CLUSTER ANALYSIS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MEDULLOBLASTOMA; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879305395     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_64     Document Type: Conference Paper

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