Morphometric analysis for pathological abnormality detection in the skull vaults of adolescent idiopathic scoliosis girls

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

Volumn 4190 LNCS - I, Issue , 2006, Pages 175-182

  Shi, Lin ^a   Heng, Pheng Ann ^a   Wong, Tien Tsin ^a   Chu, Winnie C W ^a   Yeung, Benson H Y ^a   Cheng, Jack C Y ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

BONE; IMAGE ANALYSIS; IMAGE SEGMENTATION; PATHOLOGY;

BONE FORMATION; GRADIENT VECTOR FLOW; MORPHOMETRIC ANALYSIS; SUPPORT VECTOR MACHINE;

MEDICAL IMAGING;

ADOLESCENT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; CHILD; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CONGENITAL MALFORMATION; CRANIOFACIAL MALFORMATION; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SCOLIOSIS; SENSITIVITY AND SPECIFICITY; SKULL; THREE DIMENSIONAL IMAGING;

ADOLESCENT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; CHILD; COMPUTER SIMULATION; CRANIOFACIAL ABNORMALITIES; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SCOLIOSIS; SENSITIVITY AND SPECIFICITY; SKULL;

EID: 33750271910     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_22     Document Type: Conference Paper

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