Multi-sectional views textural based SVM for MS lesion segmentation in multi-channels MRIs

Open Biomedical Engineering Journal

Volumn 6, Issue 1, 2012, Pages 56-72

  Abdullah, Bassem A ^a   Younis, Akmal A ^a   John, Nigel M ^a  

^a University of Miami   (United States)

Author keywords

Brain segmentation; MRI; Multi channels; Multiple sclerosis; ROI; Sectional view; SVM; Texture analysis

Indexed keywords

BRAIN SEGMENTATION; MULTI CHANNEL; MULTIPLE SCLEROSIS; ROI; SECTIONAL VIEWS; SVM; TEXTURE ANALYSIS;

MAGNETIC RESONANCE IMAGING; SUPPORT VECTOR MACHINES; MAGNETIC LEVITATION VEHICLES;

NEUROIMAGING; SUPPORT VECTOR MACHINES;

ADULT; AGED; ARTICLE; AUTOANALYSIS; BRAIN RADIOGRAPHY; BRAIN REGION; CLASSIFICATION ALGORITHM; CLINICAL ARTICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; EVALUATION RESEARCH; FEMALE; GRAY MATTER; HUMAN; INTERMETHOD COMPARISON; MALE; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MULTIPLE SCLEROSIS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIMULATION; SUPPORT VECTOR MACHINE; WHITE MATTER; CROSS-SECTIONAL STUDY; IMAGE ANALYSIS; MAJOR CLINICAL STUDY;

EID: 84861898991     PISSN: None     EISSN: 18741207     Source Type: Journal    
DOI: 10.2174/1874230001206010056     Document Type: Article

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