Supervised brain segmentation and classification in diagnostic of attention-deficit/hyperactivity disorder

Proceedings of the 2012 International Conference on High Performance Computing and Simulation, HPCS 2012

Volumn , Issue , 2012, Pages 182-187

  Igual, Laura ^a,b   Soliva, Joan Carles ^b,c   Hernández Vela, Antonio ^a,b   Escalera, Sergio ^a,b   Vilarroya, Oscar ^b,c   Radeva, Petia ^a,b  

^a UNIVERSITY OF BARCELONA   (Spain)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^c HOSPITAL DEL MAR   (Spain)

Author keywords

ADHD Diagnostic; Automatic Segmentation; Brain Caudate Nucleus; Graph Cut Framework; Machine Learning

Indexed keywords

ADHD DIAGNOSTIC; AUTOMATIC METHOD; AUTOMATIC SEGMENTATIONS; BOUNDARY POTENTIALS; BRAIN SEGMENTATION; BRAIN STRUCTURE; CAUDATE SEGMENTATION; DATA SETS; DIAGNOSTIC TESTS; ENERGY FUNCTIONS; GRAPH CUT; LEARNING APPROACH; MAGNETIC RESONANCE IMAGES; MANUAL ANNOTATION; REGION OF INTEREST; SEGMENTATION METHODS; SHAPE FEATURES;

GRAPHIC METHODS; LEARNING SYSTEMS; MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

EID: 84866978641     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCSim.2012.6266909     Document Type: Conference Paper

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