A novel tumor grading technique using functional magnetic resonance imaging

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2011, Pages 18-26

  Haegler, Katrin ^a   Böhm, Christian ^a  

^a UNIVERSITY OF MUNICH   (Germany)

Author keywords

Gaussian Mixture Model; Glioma grading; Perfusion MRI; Similarity search; Uncertain data

Indexed keywords

CEREBRAL BLOOD FLOW; CEREBRAL BLOOD VOLUME; CONTRAST-ENHANCED; CONTRAST-ENHANCEMENT; DATA SETS; FEATURE VECTORS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL MRI; GAIN INFORMATION; GAUSSIAN MIXTURE MODEL; MEAN TRANSIT TIME; MRI SEQUENCES; NON-INVASIVE; NOVEL TECHNIQUES; PERFUSION MRI; PROBABILITY-BASED CLASSIFIER; SEMI-AUTOMATICS; SIMILARITY SEARCH; THERAPY PLANNING; TUMOR GRADES; TUMOR PHYSIOLOGY; UNCERTAIN DATAS;

BLOOD; DATA MINING; GRADING; HEALTH CARE; HEMODYNAMICS; PROBABILITY DENSITY FUNCTION; TUMORS;

MAGNETIC RESONANCE IMAGING;

EID: 80053212833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2023582.2023586     Document Type: Conference Paper

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