Informations pratiques
Le 23 Mai l’équipe Méthods accueillera Emilie Chouzenoux et Nora Ouzir de l’INRIA.
Intervenante : Nora Ouzir – Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning
Suivi d’une discussion avec elles.
Résumé : The diagnosis of primary liver cancers can be challenging, especially on biopsies and for combined hepatocellular-cholangiocarcinoma (cHCC-CCA). We automatically classified primary liver cancers on routine-stained biopsies
using a weakly supervised learning method. Our model identified specific features of hepatocellular carcinoma and intra-hepatic cholangiocarcinoma. Despite no specific features of cHCC-CCA being recognized, the identification of hepatocellular carcinoma and intrahepatic cholangiocarcinoma tiles within a slide could facilitate the diagnosis of primary liver cancers, and particularly cHCC-CCA.
