Could machine learning improve the prediction of pelvic nodal status of prostate cancer patients? Preliminary results of a pilot study

  • B. De Bari
  • , M. Vallati
  • , R. Gatta
  • , C. Simeone
  • , G. Girelli
  • , U. Ricardi
  • , I. Meattini
  • , P. Gabriele
  • , R. Bellavita
  • , M. Krengli
  • , I. Cafaro
  • , E. Cagna
  • , F. Bunkheila
  • , S. Borghesi
  • , M. Signor
  • , A. Di Marco
  • , F. Bertoni
  • , M. Stefanacci
  • , N. Pasinetti
  • , M. Buglione
    • S. M. Magrini

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

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