Exploring brain tumor heterogeneity for survival time prediction

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2014, Pages 580-585

  Zhou, Mu ^a   Hall, Lawrence O ^a   Goldgof, Dmitry B ^a   Gillies, Robert J ^b   Gatenby, Robert A ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b H LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; ECOSYSTEMS; FORECASTING; MAGNETIC RESONANCE IMAGING; MAPPING; PATTERN RECOGNITION;

CLINICAL PRACTICES; GLIOBLASTOMA MULTIFORME; IMAGE GUIDED THERAPY; INPUT MODALITIES; QUANTITATIVE FEATURES; T2-WEIGHTED MRIS; TUMOR SEGMENTATION; VISUAL APPEARANCE;

TUMORS;

EID: 84919918095     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2014.110     Document Type: Conference Paper

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