Emilie Chouzenoux and Nora Ouzir from INRIA: Primary liver cancer classification from routine tumour biopsy

On May 23, the Methods team will welcome Emilie Chouzenoux and Nora Ouzir from INRIA.

Speaker : Nora Ouzir – Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

Followed by a discussion with them.

Summary: 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.