Thomas Albrecht, Annik Rossberg, Jana Dorothea Albrecht, Jan Peter Nicolay, Beate Katharina Straub, Tiemo Sven Gerber, Michael Albrecht, Fritz Brinkmann, Alphonse Charbel, Constantin Schwab, Johannes Schreck, Alexander Brobeil, Christa Flechtenmacher, Moritz von Winterfeld, Bruno Christian Köhler, Christoph Springfeld, Arianeb Mehrabi, Stephan Singer, Monika Nadja Vogel, Olaf Neumann, Albrecht Stenzinger, Peter Schirmacher, Cleo-Aron Weis, Stephanie Roessler, Jakob Nikolas Kather, Benjamin Goeppert
BACKGROUND & AIMS: Diagnosis of adenocarcinoma in the liver is a frequent scenario in routine pathology and has a critical impact on clinical decision making. However, rendering a correct diagnosis can be challenging, and often requires the integration of clinical, radiologic, and immunohistochemical information. We present a deep learning model (HEPNET) to distinguish intrahepatic cholangiocarcinoma from colorectal liver metastasis, as the most frequent primary and secondary forms of liver adenocarcinoma, with clinical grade accuracy using H&E-stained whole-slide images...
November 2023: Gastroenterology