Automated white matter total lesion volume segmentation in diabetes

American Journal of Neuroradiology

Volumn 34, Issue 12, 2013, Pages 2265-2270

  Maldjian, J A ^a   Whitlow, Christopher T ^a   Saha, B N ^a   Kota, G ^a   Vandergriff, C ^a   Davenport, E M ^a   Divers, J ^a   Freedman, B I ^a   Bowden, D W ^a  

^a WAKE FOREST SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; AUTOMATION; CLINICAL ARTICLE; CONTROLLED STUDY; DIABETIC PATIENT; FEMALE; HUMAN; LEUKOARAIOSIS; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; RATING SCALE; VALIDATION PROCESS; WHITE MATTER LESION;

AGED; AGED, 80 AND OVER; ALGORITHMS; BRAIN; BRAIN MAPPING; COHORT STUDIES; DIABETES MELLITUS, TYPE 2; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; LEUKOARAIOSIS; MALE; MIDDLE AGED; NERVE FIBERS, MYELINATED; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84890491465     PISSN: 01956108     EISSN: 1936959X     Source Type: Journal    
DOI: 10.3174/ajnr.A3590     Document Type: Article

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