Precision oncology for intrahepatic cholangiocarcinoma in clinical practice
Aurelie Tomczak(Heidelberg University), Thomas Longerich(Heidelberg University), Arianeb Mehrabi(Heidelberg University), Christoph Springfeld(Heidelberg University), Ursula Wagner(Heidelberg University), Albrecht Stenzinger(Heidelberg University), Michael T. Dill(German Cancer Research Center), Antje Brockschmidt(University of Bonn), Daniel Kazdal(Heidelberg University), Patrick Naumann(Heidelberg University), Tom Luedde(Düsseldorf University Hospital), Peter Schirmacher(Heidelberg University), De‐Hua Chang(Heidelberg University)
Cited by 36
Related Papers
Senescence surveillance of pre-malignant hepatocytes limits liver cancer development
|Nature|2011|1.6k
Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer
|Nature Medicine|2019|1.5k
NF-κB in the liver—linking injury, fibrosis and hepatocellular carcinoma
|Nature Reviews Gastroenterology & Hepatology|2011|1.4k
Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
|PLoS Medicine|2019|1.1k
Hepatocellular carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up
|Annals of Oncology|2018|1.1k