Fuzzy nonparametric DTI segmentation for robust cingulum-tract extraction

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 294-301

  Awate, Suyash P ^a   Zhang, Hui ^a   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANISOTROPY; MATHEMATICAL MODELS; PROBLEM SOLVING; ROBUST CONTROL; STATISTICAL METHODS;

CINGULUM-TRACT EXTRACTION; STATISTICAL MODELS; TRACTOGRAPHY; VOXELS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CINGULATE GYRUS; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; EVALUATION; FUZZY LOGIC; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NERVE TRACT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE; VALIDATION STUDY;

ALGORITHMS; DIFFUSION MAGNETIC RESONANCE IMAGING; FUZZY LOGIC; GYRUS CINGULI; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551689463     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_36     Document Type: Conference Paper

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