Nonrigid shape correspondence using landmark sliding, insertion and deletion

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

Volumn 3750 LNCS, Issue , 2005, Pages 435-442

  Richardson, Theodor ^a   Wang, Song ^a  

^a University of South Carolina   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; MEDICAL APPLICATIONS; STATISTICAL METHODS;

LANDMARK-CORRESPONDENCE ERROR; MINIMUM DESCRIPTION LENGTH; SHAPE-CORRESPONDENCE ERROR; SHAPE-REPRESENTATION COMPACTNESS; SHAPE-REPRESENTATION ERROR;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUBTRACTION TECHNIQUE;

EID: 33744827433     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566489_54     Document Type: Conference Paper

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