Detection of Alzheimer's disease by displacement field and machine learning

PeerJ

Volumn 2015, Issue 9, 2015, Pages

  Zhang, Yudong ^a   Wang, Shuihua ^a,b  

^a NANJING NORMAL UNIVERSITY   (China)

^b NANJING UNIVERSITY   (China)

Author keywords

Alzheimer's disease,Whole brain analysis; Generalized eigenvalue proximal SVM; Machine learning; Machine vision; Region detection; Support vector machine (SVM); Twin SVM (TSVM)

Indexed keywords

AGED; ALZHEIMER DISEASE; ANALYTICAL PARAMETERS; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN REGION; CLASSIFICATION; CLINICAL ARTICLE; CLINICAL FEATURE; CONTROLLED STUDY; DIAGNOSTIC TEST ACCURACY STUDY; DISCRETE WAVELET TRANSFORM; DISPLACEMENT FIELD; FEMALE; HUMAN; INFORMATION PROCESSING; MACHINE LEARNING; MALE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; MORPHOMETRICS; NAIVE BAYES CLASSIFICATION; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84944903522     PISSN: None     EISSN: 21678359     Source Type: Journal    
DOI: 10.7717/peerj.1251     Document Type: Article

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