Autism diagnostics by 3D texture analysis of cerebral white matter gyrifications

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 882-890

  El Baz, Ayman ^a   Casanova, Manuel F ^b   Gimel'farb, Georgy ^c   Mott, Meghan ^b   Switala, Andrew E ^b  

^a University of Louisville   (United States)

^b University of Louisville School of Medicine   (United States)

^c UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; TEXTURES; THREE DIMENSIONAL;

AUTISM DIAGNOSTICS; CEREBRAL WHITE MATTER (CWM); COMMUNICATION SKILLS; WHITE MATTER GYRIFICATIONS;

IMAGE ANALYSIS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTISM; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; AUTISTIC DISORDER; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79551680725     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_107     Document Type: Conference Paper

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