Domain adaptation for Alzheimer's disease diagnostics

NeuroImage

Volumn 139, Issue , 2016, Pages 470-479

  Wachinger, Christian ^a,b,c   Reuter, Martin ^b,c  

^a UNIVERSITY OF MUNICH   (Germany)

^b MASSACHUSETTS GENERAL HOSPITAL   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Alzheimer's disease; Classification; Computer aided diagnosis; Domain adaptation

Indexed keywords

AGED; ALZHEIMER DISEASE; ARTICLE; BRAIN SIZE; CLASSIFICATION ALGORITHM; CLASSIFIER; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DOMAIN ADAPTATION; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; BRAIN; COGNITIVE DEFECT; DIAGNOSTIC IMAGING; MIDDLE AGED; PATHOLOGY; PROCEDURES; SENSITIVITY AND SPECIFICITY; SUPERVISED MACHINE LEARNING;

AGED; ALZHEIMER DISEASE; BRAIN; COGNITIVE DYSFUNCTION; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; SENSITIVITY AND SPECIFICITY; SUPERVISED MACHINE LEARNING;

EID: 84978394352     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.05.053     Document Type: Article

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