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An explainable machine learning model to solid adnexal masses diagnosis based on clinical data and qualitative ultrasound indicators.

Annarita FanizziFrancesca ArezzoGennaro CormioMaria Colomba ComesGerardo CazzatoLuca BoldriniSamantha BoveMichele BollinoAnila KardhashiErica SilvestrisPietro QuartoMichele MongelliEmanuele NaglieriRahel SignorileVera LoizziRaffaella Massafra
Published in: Cancer medicine (2024)
This is the first work that attempts to design an explainable machine-learning tool for the histological diagnosis of solid masses of the ovary.
Keyphrases
  • machine learning
  • big data
  • ultrasound guided
  • contrast enhanced ultrasound
  • artificial intelligence
  • fine needle aspiration
  • systematic review
  • deep learning