Comparison between two artificial intelligence models to discriminate cancerous cell nuclei based on confocal fluorescence imaging in hepatocellular carcinoma.

Journal: Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver
Published Date:

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) exhibits an exceptional intratumoral heterogeneity that might influence diagnosis and outcome. Advances in digital microscopy and artificial intelligence (AI) may improve the HCC identification of liver cancer cells.

Authors

  • Maurizio Troiano
    Research Unit of Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Flavia Grignaffini
    Research Unit of Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy; Department of Information Engineering, Electronics and Telecommunications (DIET), "La Sapienza" University of Rome, Rome, Italy.
  • Cristiano De Stefanis
    Core Research Facilities, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Valentina D'Oria
    Core Research Facilities, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Marzia Bianchi
    Research Unit of Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Fabio Mangini
    Department of Information Engineering, Electronics and Telecommunications (DIET), "La Sapienza" University of Rome, Rome, Italy.
  • Paola Francalanci
    Pathology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Rita Alaggio
    Pathology Unit, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
  • Fabrizio Frezza
    Department of Information Engineering, Electronics and Telecommunications (DIET), Sapienza University of Rome, Via Eudossiana 18, 00184 Rome, Italy.
  • Anna Alisi
    Research Unit of Molecular Genetics of Complex Phenotypes, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.