Communications Biology (Dec 2021)

A radiogenomics application for prognostic profiling of endometrial cancer

  • Erling A. Hoivik,
  • Erlend Hodneland,
  • Julie A. Dybvik,
  • Kari S. Wagner-Larsen,
  • Kristine E. Fasmer,
  • Hege F. Berg,
  • Mari K. Halle,
  • Ingfrid S. Haldorsen,
  • Camilla Krakstad

DOI
https://doi.org/10.1038/s42003-021-02894-5
Journal volume & issue
Vol. 4, no. 1
pp. 1 – 12

Abstract

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Hoivik, Hodneland and colleagues employ convoluted neural networks alongside radiogenomic biomarkers to profile endometrial tumors. They identify an 11-gene high-risk signature validated with retrospective patient data.