An improved lesion detection approach based on similarity measurement between fuzzy intensity segmentation and spatial probability maps

Magnetic Resonance Imaging

Volumn 28, Issue 2, 2010, Pages 245-254

  Shen, Shan ^a   Szameitat, Andre J ^a   Sterr, Annette ^a  

^a UNIVERSITY OF SURREY   (United Kingdom)

Author keywords

Fuzzy clustering; Lesion detection; Similarity measurement

Indexed keywords

ALGORITHM; ANALYTIC METHOD; ARTICLE; BRAIN DAMAGE; BRAIN VENTRICLE; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FUZZY INTENSITY SEGMENTATION; HUMAN; HUMAN TISSUE; IMAGE ANALYSIS; INTERMETHOD COMPARISON; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY AND SPECIFICITY; SIMULATION; SPATIAL PROBABILITY MAP; VALIDITY;

ALGORITHMS; BRAIN; BRAIN DISEASES; DATA INTERPRETATION, STATISTICAL; FEMALE; FUZZY LOGIC; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 77349123530     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2009.06.007     Document Type: Article

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