Predicting MGMT methylation status of glioblastomas from MRI texture

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

Volumn 5762 LNCS, Issue PART 2, 2009, Pages 522-530

  Levner, Ilya ^a,b   Drabycz, Sylvia ^a   Roldan, Gloria ^a,c,d,e   De Robles, Paula ^a,c,d,e   Cairncross, J Gregory ^a,c,d,e   Mitchell, Ross ^a,b,d,e  

^a UNIVERSITY OF CALGARY   (Canada)

^b Alberta Machine Intelligence Institute   (Canada)

^c TOM BAKER CANCER CENTRE   (Canada)

^d UNIVERSITY OF CALGARY   (Canada)

^e Southern Alberta Cancer Research Institute   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL TOOLS; CLINICAL USE; DNA REPAIR; GLIOBLASTOMAS; MR IMAGES; NON-INVASIVE; PROMOTER METHYLATION; RETROSPECTIVE ANALYSIS; S TRANSFORMS; SPACE-FREQUENCY; TEXTURE ANALYSIS; TEXTURE FEATURES;

ALKYLATION; CHEMOTHERAPY; FORECASTING; MAGNETIC RESONANCE IMAGING; MEDICAL COMPUTING; NEURAL NETWORKS; RESONANCE; TEXTURES;

METHYLATION;

TUMOR MARKER;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; DNA METHYLATION; GENETICS; GLIOBLASTOMA; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN NEOPLASMS; DNA METHYLATION; GLIOBLASTOMA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TUMOR MARKERS, BIOLOGICAL;

EID: 84863243619     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04271-3_64     Document Type: Conference Paper

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