Segmentation of multiple sclerosis lesions in MR images: A review

Neuroradiology

Volumn 54, Issue 4, 2012, Pages 299-320

  Mortazavi, Daryoush ^a   Kouzani, Abbas Z ^a   Soltanian Zadeh, Hamid ^b,c,d  

^a DEAKIN UNIVERSITY   (Australia)

^b HENRY FORD HEALTH SYSTEM   (United States)

^c UNIVERSITY OF TEHRAN   (Iran)

^d INSTITUTE FOR STUDIES IN THEORETICAL PHYSICS AND MATHEMATICS IPM   (Iran)

Author keywords

Image processing; Magnetic resonance imaging; Multiple sclerosis; Pattern recognition; Segmentation

Indexed keywords

ANALYTIC METHOD; BAYES THEOREM; CLASSIFICATION ALGORITHM; CLINICAL EVALUATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC IMAGING; DISEASE CLASSIFICATION; DISEASE COURSE; EARLY DIAGNOSIS; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; HUMAN; IMAGE ANALYSIS; MULTIPLE SCLEROSIS; NERVOUS SYSTEM PARAMETERS; NOISE REDUCTION; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS MODEL; PROFESSIONAL KNOWLEDGE; REPRODUCIBILITY; REVIEW; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BAYES THEOREM; FUZZY LOGIC; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84862840271     PISSN: 00283940     EISSN: 14321920     Source Type: Journal    
DOI: 10.1007/s00234-011-0886-7     Document Type: Review

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