3D brain segmentation using active appearance models and local regressors

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

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 401-408

  Babalola, Kolawole O ^a   Cootes, Tim F ^a   Twining, Carole J ^a   Petrovic, Vlad ^a   Taylor, Chris ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE APPEARANCE MODELS; BRAIN SEGMENTATION; DATA SETS; IMAGE CORRESPONDENCE; MR IMAGES; REGRESSION FUNCTION; SUBCORTICAL STRUCTURES;

BRAIN MODELS; COMPUTER SCIENCE; FACE RECOGNITION; FEATURE EXTRACTION; LABELS; MEDICAL COMPUTING; MEDICAL IMAGING;

THREE DIMENSIONAL;

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; CHILD; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MALE; METHODOLOGY; MIDDLE AGED; NUCLEAR MAGNETIC RESONANCE IMAGING; PRESCHOOL CHILD; REGRESSION ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CHILD; CHILD, PRESCHOOL; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84883848185     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_48     Document Type: Conference Paper

References (13)

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