Regression models of atlas appearance

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

Volumn 5636 LNCS, Issue , 2009, Pages 151-162

  Rohlfing, Torsten ^a   Sullivan, Edith V ^b   Pfefferbaum, Adolf ^a,b  

^a SRI INTERNATIONAL   (United States)

^b STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPEARANCE MODELING; APPEARANCE MODELS; HUMAN BRAIN; INDEPENDENT VARIABLES; MEDICAL IMAGE ANALYSIS; MODEL INTERPOLATION; MR IMAGES; MULTI-LINEAR REGRESSION; OBJECT APPEARANCE; ORIGINAL IMAGES; POTENTIAL APPLICATIONS; PRINCIPAL COMPONENTS ANALYSIS; REGRESSION MODEL; SPECIFIC VALUES; SUB-POPULATIONS; TRAINING DATA; VERSATILE TOOLS;

BRAIN; COMPUTER VISION; DATA PROCESSING; IMAGE ANALYSIS; MEDICAL IMAGING; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

BRAIN MODELS;

ALGORITHM; ARTICLE; AUDIOVISUAL EQUIPMENT; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 70349321442     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02498-6_13     Document Type: Conference Paper

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