Segmentation of cortical MS lesions on MRI using automated laminar profile shape analysis

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

Volumn 6363 LNCS, Issue PART 3, 2010, Pages 181-188

  Tardif, Christine L ^a   Collins, D Louis ^a   Eskildsen, Simon F ^b   Richardson, John B ^c   Pike, G Bruce ^a  

^a MCGILL UNIVERSITY   (Canada)

^b AALBORG UNIVERSITY   (Denmark)

^c MCGILL UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CORTICAL SURFACES; DATA SETS; GREY MATTERS; HIGH RESOLUTION; K-MEANS; MAGNETIC RESONANCE IMAGES; MULTIPLE SCLEROSIS; MULTIPLE SCLEROSIS LESIONS; PARTIAL VOLUME EFFECT; POST MORTEM; PROFILE SHAPES; QUANTITATIVE MAGNETIC RESONANCES; SHAPE FEATURES; SPATIAL VARIATIONS; WHITE MATTER;

MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING;

MEDICAL IMAGING;

AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN CORTEX; COMPUTER ASSISTED DIAGNOSIS; FEMALE; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MULTIPLE SCLEROSIS; MYELINATED NERVE; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGED; ALGORITHMS; CEREBRAL CORTEX; FEMALE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MULTIPLE SCLEROSIS; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79956216639     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15711-0_23     Document Type: Conference Paper

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