Multi-object analysis of volume, pose, and shape using statistical discrimination

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 32, Issue 4, 2010, Pages 652-661

  Gorczowski, Kevin ^a   Styner, Martin ^b   Jeong, Ja Yeon ^a   Marron, J S ^a   Piven, Joseph ^b   Hazlett, Heather Cody ^b   Pizer, Stephen M ^a   Gerig, Guido ^c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF UTAH   (United States)

Author keywords

Shape; Shape analysis; Size and shape

Indexed keywords

APPLICATION DOMAINS; BRAIN STRUCTURE; GENERALIZATION ABILITY; GEODESIC DISTANCES; GLOBAL ALIGNMENT; HIGH-DIMENSIONAL; MULTIOBJECT; MULTIPLE OBJECTS; NON-EUCLIDEAN; RELATIVE POSE; SAMPLE SIZES; SHAPE ANALYSIS; SHAPE CHANGE; SHAPE FEATURES; SINGLE OBJECT; SIZE AND SHAPE; STATISTICAL HYPOTHESIS TEST; STATISTICAL SHAPE ANALYSIS;

ALIGNMENT; DISCRIMINANT ANALYSIS; TESTING;

POPULATION STATISTICS;

AMYGDALOID NUCLEUS; ARTICLE; AUTISM; CAUDATE NUCLEUS; DISCRIMINANT ANALYSIS; HIPPOCAMPUS; HISTOLOGY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRESCHOOL CHILD; PUTAMEN; STATISTICAL MODEL;

AMYGDALA; AUTISTIC DISORDER; CAUDATE NUCLEUS; CHILD, PRESCHOOL; DISCRIMINANT ANALYSIS; HIPPOCAMPUS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, STATISTICAL; PUTAMEN;

EID: 77649273661     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2009.92     Document Type: Article

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