Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models

P. Bos*, M.W.M. van den Brekel, Z.A.R. Gouw, A. Al-Mamgani, M. Taghavi, S. Waktola, H.J.W.L. Aerts, J.A. Castelijns, R.G.H. Beets-Tan, B. Jasperse

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Web of Science)
23 Downloads (Pure)
Original languageEnglish
Article number109701
Number of pages6
JournalEuropean Journal of Radiology
Volume139
DOIs
Publication statusPublished - 1 Jun 2021

Keywords

  • Machine learning
  • Head and neck neoplasms
  • Magnetic Resonance Imaging
  • Treatment outcome
  • Oropharyngeal neoplasms
  • Radiomics
  • NECK-CANCER
  • RADIOMICS
  • HEAD
  • SURVIVAL

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