STREM: A robust multidimensional parametric method to segment MS lesions in MRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3749 LNCS, Issue , 2005, Pages 409-416

  Ait Ali L S ^a   Prima, S ^a   Hellier, P ^a   Carsin, B ^b   Edan, G ^b   Barillot, C ^a  

^a CAMPUS DE BEAULIEU   (France)

^b PONTCHAILLOU UNIVERSITY HOSPITAL   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; SIMULATORS;

BRAINWEB SIMULATORS; CLINICAL DATA; MULTIPLE SCLEROSIS (MS);

TISSUE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 33744784322     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_51     Document Type: Conference Paper

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