Contrast-Based Fully Automatic Segmentation of White Matter Hyperintensities: Method and Validation

PLoS ONE

Volumn 7, Issue 11, 2012, Pages

  Samaille, Thomas ^a,b,c,d   Fillon, Ludovic ^a,b,c,d   Cuingnet, Rémi ^a,b,c,d   Jouvent, Eric ^f   Chabriat, Hugues ^b,f,g   Dormont, Didier ^a,b,c,d,e   Colliot, Olivier ^a,b,c,d   Chupin, Marie ^a,b,c,d  

^a SORBONNE UNIVERSITÉ   (France)

^b INSERM   (France)

^c CNRS   (France)

^d INSTITUT DU CERVEAU ET DE LA MOELLE ÉPINIÈRE   (France)

^e PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^f HÔPITAL LARIBOISIÈRE   (France)

^g DHU NeuroVasc Paris Sorbonne   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; CADASIL; CONTRAST ENHANCEMENT; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; HUMAN; IMAGE PROCESSING; INTERMETHOD COMPARISON; K NEAREST NEIGHBOR; MAJOR CLINICAL STUDY; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; SUPPORT VECTOR MACHINE; VALIDATION STUDY; WHITE MATTER; WHITE MATTER HYPERINTENSITIES AUTOMATED SEGMENTATION ALGORITHM;

BRAIN; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERNET; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 84869035976     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0048953     Document Type: Article

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