Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer

S. Brockmoeller*, A. Echle, N.G. Laleh, S. Eiholm, M.L. Malmstrom, T.P. Kuhlmann, K. Levic, H.I. Grabsch, N.P. West, O.L. Saldanha, K. Kouvidi, A. Bono, L.R. Heij, T.J. Brinker, I. Gogenur, P. Quirke, J.N. Kather*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Web of Science)
Original languageEnglish
Pages (from-to)269-281
Number of pages13
JournalJournal of Pathology
Volume256
Issue number3
Early online date28 Dec 2021
DOIs
Publication statusPublished - Mar 2022

Keywords

  • early colorectal cancer
  • AI
  • artificial intelligence
  • deep learning
  • prediction LNM
  • metastasis
  • inflamed adipose tissue
  • new predictive biomarker
  • digital pathology
  • pT1 and pT2 bowel cancer
  • MICROSATELLITE INSTABILITY
  • INTEROBSERVER VARIABILITY
  • PREDICTION
  • POLYPS
  • MODEL

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