An image-aided diagnosis system for dementia classification based on multiple features and self-organizing map

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

Volumn 6444 LNCS, Issue PART 2, 2010, Pages 462-469

  Yang, Shih Ting ^a   Lee, Jiann Der ^a   Huang, Chung Hsien ^a   Wang, Jiun Jie ^a   Hsu, Wen Chuin ^b   Wai, Yau Yau ^b  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

Author keywords

Alzheimer's disease; Magnetic resonance imaging; Mild cognitive impairment; Principle component analysis; Self organizing map; Shape descriptors

Indexed keywords

ALZHEIMER'S DISEASE; CLASSIFICATION ACCURACY; CLASSIFICATION FRAMEWORK; CLASSIFICATION RESULTS; COGNITIVE IMPAIRMENT; DIAGNOSIS SYSTEMS; FEATURE SPACE; MULTIPLE FEATURES; PCA PROCESS; PRINCIPLE COMPONENT ANALYSIS; SHAPE DESCRIPTORS; SHAPE FEATURES; VOLUMETRIC FEATURES; ALZHEIMER; MILD COGNITIVE IMPAIRMENTS; MILD COGNITIVE IMPAIRMENTS (MCI);

CONFORMAL MAPPING; DATA PROCESSING; DIAGNOSIS; DISEASES; MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; RESONANCE; VOLUMETRIC ANALYSIS; COMPUTER AIDED DIAGNOSIS; IMAGE CLASSIFICATION; MAGNETIC LEVITATION VEHICLES; NEURODEGENERATIVE DISEASES; SELF ORGANIZING MAPS;

CLASSIFICATION (OF INFORMATION);

EID: 78650211907     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-17534-3_57     Document Type: Conference Paper

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