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The application of radiomics-based machine learning in the differential diagnosis between atypical low-grade astrocytoma and anaplastic astrocytoma

Date

02 Mar 2020

Session

Poster Display & Cocktail

Presenters

Manni Wang

Citation

Annals of Oncology (2020) 31 (suppl_1): S16-S16. 10.1016/annonc/annonc84

Authors

M. Wang1, C. Chen1, X. Ma2, X. Han1

Author affiliations

  • 1 West China Hospital of Sichuan University, 610041 - chengdu/CN
  • 2 West China Hospital of Sichuan University, 610041 - Chengdu/CN
More

Resources

Recently the texture analysis has been applied to help diagnose and predict the clinical outcome of various tumor types. To investigate the diagnostic ability of radiomics-based machine learning in differentiating atypical low-grade astrocytoma (LGA) from anaplastic astrocytoma (AA).

Resources from the same session

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