Approximations of the diffeomorphic metric and their applications in shape learning

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

Volumn 6801 LNCS, Issue , 2011, Pages 257-270

  Yang, Xianfeng ^a   Goh, Alvina ^a   Qiu, Anqi ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

diffeomorphic metric; exponential map; hippocampal shape; ISOMAP

Indexed keywords

AGING POPULATION; ANATOMICAL SHAPE; ANATOMICAL VARIATIONS; COMPUTATIONAL ALGORITHM; COMPUTATIONAL BURDEN; CONSERVATION LAW; DIFFEOMORPHIC METRIC; DIFFEOMORPHIC TRANSFORMATION; DIFFEOMORPHISMS; DIMENSIONALITY REDUCTION; DIMENSIONALITY REDUCTION ANALYSIS; DISTANCE MATRICES; EXPONENTIAL MAP; HIPPOCAMPAL SHAPE; INITIAL MOMENTUM; INITIAL VELOCITIES; ISOMAP; ISOMAP ANALYSIS; LOW-DIMENSIONAL SPACES; MATRIX; METRIC DISTANCES; METRIC SPACES; MORPHOLOGICAL VARIATION; NEURO-IMAGING; SECOND-ORDER APPROXIMATION; SHAPE ANALYSIS; SHAPE INFORMATION; SHAPE LEARNING; SHAPE VARIATIONS; STRUCTURAL SHAPE; TANGENT SPACE;

DATA PROCESSING; IMAGE SEGMENTATION; LINEAR TRANSFORMATIONS; MAPPING; MATRIX ALGEBRA; MEDICAL IMAGING;

APPROXIMATION ALGORITHMS;

ADOLESCENT; ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HIPPOCAMPUS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ADOLESCENT; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; FEMALE; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 79959582923     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-22092-0_22     Document Type: Conference Paper

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