LVQ-SVM based CAD tool applied to structural MRI for the diagnosis of the Alzheimer's disease

Pattern Recognition Letters

Volumn 34, Issue 14, 2013, Pages 1725-1733

  Ortiz, Andrés ^a   Górriz, Juan M ^b   Ramírez, Javier ^b   Martinez Murcia F J ^b  

^a UNIVERSITY OF MÁLAGA   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Alzheimer's disease; Classification; Feature reduction; Learning Vector Quantization; MRI segmentation; Self Organizing Maps

Indexed keywords

CLASSIFICATION (OF INFORMATION); CONFORMAL MAPPING; DIAGNOSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; NEURODEGENERATIVE DISEASES; SELF ORGANIZING MAPS; SUPPORT VECTOR MACHINES; TISSUE; VECTOR QUANTIZATION; VECTOR SPACES; VECTORS;

ALZHEIMER'S DISEASE; COMPUTER AIDED DIAGNOSIS(CAD); FEATURE REDUCTION; LEARNING VECTOR QUANTIZATION; LEARNING VECTOR QUANTIZATION ALGORITHMS; MRI SEGMENTATION; STATISTICAL SIGNIFICANCE TEST; UNSUPERVISED SEGMENTATION METHOD;

COMPUTER AIDED DIAGNOSIS;

EID: 84885602719     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2013.04.014     Document Type: Article

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