Automatic segmentation and components classification of optic pathway gliomas in MRI

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

Volumn 6361 LNCS, Issue PART 1, 2010, Pages 103-110

  Weizman, Lior ^a   Ben Sira, Liat ^b   Joskowicz, Leo ^a   Precel, Ronit ^b   Constantini, Shlomi ^b   Ben Bashat, Dafna ^b  

^a HEBREW UNIVERSITY OF JERUSALEM   (Israel)

^b TEL AVIV SOURASKY MEDICAL CENTER   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; BOUNDARY SURFACES; CLASSIFICATION RESULTS; DATA SETS; DISEASE PROGRESSION; GREY-LEVEL; INTENSITY INFORMATION; MAIN COMPONENT; MANUAL SEGMENTATION; MULTI-SPECTRAL; TRAINING DATA SETS; TUMOR PROGRESSIONS; TUMOR TISSUES;

MEDICAL COMPUTING; MEDICAL IMAGING; TUMORS;

CLASSIFICATION (OF INFORMATION);

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; OPTIC NERVE GLIOMA; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VISUAL SYSTEM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; OPTIC NERVE GLIOMA; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VISUAL PATHWAYS;

EID: 78349278060     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15705-9_13     Document Type: Conference Paper

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