Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer

  • Frederik Wessels
  • , Max Schmitt
  • , Eva Krieghoff-Henning
  • , Tanja Jutzi
  • , Thomas S. Worst
  • , Frank Waldbillig
  • , Manuel Neuberger
  • , Roman C. Maron
  • , Matthias Steeg
  • , Timo Gaiser
  • , Achim Hekler
  • , Jochen S. Utikal
  • , Christof von Kalle
  • , Stefan Fröhling
  • , Maurice S. Michel
  • , Philipp Nuhn
  • , Titus J. Brinker*
    • *Corresponding author for this work

Research output: Contribution to journal › Article › Research › peer-review

62 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Deep learning approach to predict lymph node metastasis directly from primary tumour histology in prostate cancer'. Together they form a unique fingerprint.
Sort by

Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science

Veterinary Science and Veterinary Medicine

Keyphrases