Hierarchical constrained local model using ICA and its application to Down syndrome detection

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

Volumn 8150 LNCS, Issue PART 2, 2013, Pages 222-229

  Zhao, Qian ^a   Okada, Kazunori ^b   Rosenbaum, Kenneth ^a   Zand, Dina J ^a   Sze, Raymond ^a   Summar, Marshall ^a   Linguraru, Marius George ^a  

^a CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^b SAN FRANCISCO STATE UNIVERSITY   (United States)

Author keywords

classification; Down syndrome detection; hierarchical constrained local model; independent component analysis

Indexed keywords

ANATOMICAL LANDMARKS; CONSTRAINED LOCAL MODELS; DOWN SYNDROME; GAUSSIAN ASSUMPTION; INDEPENDENT COMPONENT ANALYSIS(ICA); LOCAL TEXTURE FEATURE; RADIAL BASIS FUNCTION KERNELS; STATISTICAL SHAPE MODEL;

CLASSIFICATION (OF INFORMATION); PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DOWN SYNDROME; FACE; FEMALE; HUMAN; IMAGE ENHANCEMENT; INFANT; MALE; METHODOLOGY; NEWBORN; PATHOLOGY; PHOTOGRAPHY; PRESCHOOL CHILD; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; CHILD, PRESCHOOL; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DOWN SYNDROME; FACE; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFANT; INFANT, NEWBORN; MALE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84897571098     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_28     Document Type: Conference Paper

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