Classification of Alzheimer's disease using a self-smoothing operator

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 58-65

  Iglesias, Juan Eugenio ^a   Jiang, Jiayan ^a   Liu, Cheng Yi ^a   Tu, Zhuowen ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER; ALZHEIMER'S DISEASE; BRAIN MRI; COGNITIVE IMPAIRMENT; DATA POINTS; DATA SETS; DIFFUSION MAPS; DIFFUSION PROCESS; INTRINSIC DATA; MATRIX; METRIC LEARNING; NEAREST NEIGHBORHOOD CLASSIFICATIONS; SIMILARITY MEASURE; SYSTEM USE;

DIFFUSION; MEDICAL COMPUTING; MEDICAL IMAGING; NEURODEGENERATIVE DISEASES;

CLASSIFICATION (OF INFORMATION);

AGED; ALGORITHM; ALZHEIMER DISEASE; ARTICLE; BRAIN MAPPING; CLASSIFICATION; COGNITIVE DEFECT; DIAGNOSTIC IMAGING; DIFFUSION; FACTUAL DATABASE; FEMALE; HIPPOCAMPUS; HUMAN; MALE; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

AGED; AGED, 80 AND OVER; ALGORITHMS; ALZHEIMER DISEASE; BRAIN MAPPING; COGNITION DISORDERS; DATABASES, FACTUAL; DIAGNOSTIC IMAGING; DIFFUSION; FEMALE; HIPPOCAMPUS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS;

EID: 80053469006     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_8     Document Type: Conference Paper

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