Probabilistic multi-shape representation using an isometric log-ratio mapping

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 563-570

  Changizi, Neda ^a   Hamarneh, Ghassan ^a  

^a SIMON FRASER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN DATA; EUCLIDEAN; EUCLIDEAN SPACES; MEDICAL IMAGES; PROBABILISTIC DATA; PROBABILISTIC REPRESENTATION; REAL-SPACE; SAMPLE SPACE; SHAPE BOUNDARIES; SHAPE REPRESENTATION; SOURCES OF UNCERTAINTY; STATISTICAL ANALYSIS; STATISTICAL SHAPE ANALYSIS;

MEDICAL COMPUTING; MEDICAL IMAGING; METADATA;

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; BRAIN; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84856639469     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_70     Document Type: Conference Paper

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