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Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer.

Gianluca CarliniCaterina GaudianoRita GolfieriNico CurtiRiccardo BiondiLorenzo BianchiRiccardo SchiavinaFrancesca GiunchiLorenzo FaggioniEnrico GiampieriAlessandra MerlottiDaniele Dall'OlioClaudia SalaSara PandolfiDaniel RemondiniArianna RusticiLuigi Vincenzo PastoreLeonardo ScarpettiBarbara BortolaniLaura CercenelliEugenio BrunocillaEmanuela MarcelliFrancesca CoppolaGastone C Castellani
Published in: Journal of personalized medicine (2023)
The obtained results confirm the efficiency of ZOT radiomic features in capturing the renal tumor characteristics. We showed that there is a significant difference in the performances of the two proposed pipelines, highlighting how some already published radiomic analyses could be too optimistic about the real generalization capabilities of the models.
Keyphrases
  • clear cell
  • papillary thyroid
  • machine learning
  • randomized controlled trial
  • systematic review
  • deep learning
  • squamous cell carcinoma
  • childhood cancer
  • meta analyses