Useful informations

Date : 2024-05-23

Hour : 9h30

Venue : Salle A2

Is public : No

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.

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