Machine learning-based analysis of CT radiomics model for prediction of colorectal metachronous liver metastases

M. Taghavi, S. Trebeschi, R. Simoes, D.B. Meek, R.C.J. Beckers, D.M.J. Lambregts, C. Verhoef, J.B. Houwers, U.A. van der Heide, R.G.H. Beets-Tan, M. Maas

Research output: Contribution to journalArticleAcademicpeer-review

11 Citations (Web of Science)
Original languageEnglish
Pages (from-to)249-256
Number of pages8
JournalAbdominal Radiology
Volume46
Issue number1
DOIs
Publication statusPublished - 1 Jan 2021

Keywords

  • cancer
  • colorectal cancer
  • disease
  • images
  • liver neoplasms
  • machine learning
  • neoplasm metastasis
  • survival
  • texture analysis
  • tomography
  • x-ray computed
  • SURVIVAL
  • Colorectal cancer
  • TEXTURE ANALYSIS
  • Neoplasm metastasis
  • CANCER
  • X-ray computed
  • IMAGES
  • Machine learning
  • DISEASE
  • Tomography
  • Liver neoplasms

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