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Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.

Yoon Seong ChoiSung Soo AhnJong Hee ChangSeok-Gu KangEui Hyun KimSe Hoon KimRajan JainSeung-Koo Lee
Published in: European radiology (2020)
• Radiomics analysis with machine learning can improve survival prediction over the non-imaging factors (clinical and molecular profiles) for lower grade gliomas, across different institutions.
Keyphrases
  • machine learning
  • high grade
  • artificial intelligence
  • high resolution
  • big data
  • free survival
  • high throughput
  • lymph node metastasis
  • deep learning
  • contrast enhanced
  • photodynamic therapy
  • data analysis