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Survival-relevant high-risk subregion identification for glioblastoma patients: the MRI-based multiple instance learning approach.

Xi ZhangDi LuPeng GaoQiang TianHongbing LuXiaopan XuXiaowei HeYang Liu
Published in: European radiology (2020)
• The performance of high-risk subregions was more promising than the GTR for OS stratification. • The non-enhancing component was the most important in the high-risk subregions.
Keyphrases
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • magnetic resonance imaging
  • peritoneal dialysis
  • prognostic factors
  • magnetic resonance
  • diffusion weighted imaging