Deep learning-based feature representation for AD/MCI classification

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 583-590

  Suk, Heung Il ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALZHEIMER'S DISEASE; DIAGNOSTIC ACCURACY; FEATURE REPRESENTATION; LATENT INFORMATION; LOW-LEVEL FEATURES; MILD COGNITIVE IMPAIRMENTS (MCI); NONLINEAR RELATIONS; SIGNAL INTENSITIES;

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ALZHEIMER DISEASE; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MILD COGNITIVE IMPAIRMENT; MULTIMODAL IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ALZHEIMER DISEASE; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MILD COGNITIVE IMPAIRMENT; MULTIMODAL IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84885898432     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40763-5_72     Document Type: Conference Paper

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