Predicting Tumor Related Liver Failure in Unresectable Intrahepatic Cholangiocarcinoma Patients through the Development of an Imaging Based Deep Learning Neural Network Model

Authors

Arie Van Wieren BS, The University of Texas MD Anderson Cancer CenterFollow
Brian De MD, The University of Texas MD Anderson Cancer Center
David Fuentes PhD, The University of Texas MD Anderson Cancer Center
Milind Javle MD, The University of Texas MD Anderson Cancer Center
Eugene J. Koay MD, PhD, The University of Texas MD Anderson Cancer Center

Files

Publisher

The University of Texas MD Anderson Cancer Center

City

Houston

Keywords

Intrahepatic Cholangiocarcinoma, Tumor-Related Liver Failure, Convolutional Neural Network

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License.

Program Affiliation

Partnership for Careers in Cancer Science and Medicine

Recommended Citation

Van Wieren, Arie BS; De, Brian MD; Fuentes, David PhD; Javle, Milind MD; and Koay, Eugene J. MD, PhD, "Predicting Tumor Related Liver Failure in Unresectable Intrahepatic Cholangiocarcinoma Patients through the Development of an Imaging Based Deep Learning Neural Network Model" (2021). Summer Experience 2021. 7.
https://openworks.mdanderson.org/sumexp21/7