An automated method for segmenting white matter lesions through multi-level morphometric feature classification with application to lupus

Frontiers in Human Neuroscience

Volumn 4, Issue , 2010, Pages

  Scully, Mark ^a,b,c   Anderson, Blake ^b   Lane, Terran ^b   Gasparovic, Charles ^a,d   Magnotta, Vince ^e   Sibbitt, Wilmer ^f   Roldan, Carlos ^f   Kikinis, Ron ^g   Bockholt, Henry J ^a,c  

^a MIND RESEARCH NETWORK   (United States)

^b University of New Mexico   (United States)

^c Advanced Biomedical Informatics Group LLC   (United States)

^d UNIVERSITY OF NEW MEXICO   (United States)

^e UNIVERSITY OF IOWA   (United States)

^f UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^g BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Classifi cation; Lesion; Lupus; Machine learning; Method; Segmentation; Support vector machine

Indexed keywords

ARTICLE; AUTOMATION; BRAIN DISEASE; BRAIN SLICE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC REASONING; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DISEASE CLASSIFICATION; HUMAN; HUMAN TISSUE; IMAGE PROCESSING; MACHINE LEARNING; MATHEMATICAL COMPUTING; MORPHOMETRICS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY AND SPECIFICITY; SYSTEMIC LUPUS ERYTHEMATOSUS; TISSUE PREPARATION; VOXEL BASED MORPHOMETRY; WHITE MATTER;

EID: 79952995511     PISSN: 16625161     EISSN: 16625161     Source Type: Journal    
DOI: 10.3389/fnhum.2010.00027     Document Type: Article

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