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Volumn 29, Issue 1, 2010, Pages 30-43

Comparison of adaboost and support vector machines for detecting alzheimer's disease through automated hippocampal segmentation

Author keywords

AdaBoost; Alzheimer's disease; Hippocampal segmentation; Support vector machines (SVMs); Surface modeling

Indexed keywords

ADABOOST; ALZHEIMER'S DISEASE; AUTOMATED FEATURES; AUTOMATED METHODS; BRAIN MRI; BRAIN SEGMENTATION; COGNITIVE IMPAIRMENT; FALSE DISCOVERY RATE; FEATURE SELECTION; GOLD STANDARDS; INDEPENDENT SET; MACHINE LEARNING ALGORITHMS; MANUAL SEGMENTATION; PARAMETRIC SURFACES; SEGMENTATION ACCURACY; SHAPE DIFFERENCE; SIGNIFICANCE MAPS; SURFACE MODELING; TRAINING AND TESTING; TRAINING SETS;

EID: 73849088741     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2009.2021941     Document Type: Article
Times cited : (191)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.