Published online Aug 28, 2021. doi: 10.37126/aige.v2.i4.127
Peer-review started: April 21, 2021
First decision: May 19, 2021
Revised: June 5, 2021
Accepted: July 19, 2021
Article in press: July 19, 2021
Published online: August 28, 2021
Core Tip: Hepatocellular carcinoma is diagnosed using imaging techniques, such as computed tomography and magnetic resonance imaging. In order to improve outcomes and bypass obstacles, many companies and clinical centers have been trying to develop deep learning systems that could be able to diagnose and classify liver nodules in the cirrhotic liver. Neural networks have become one of the most efficient approaches to accurately diagnose liver nodules using deep learning systems. Therefore, with the improvement of these techniques in the long term, they could be applicable in daily practice, modifying outcomes.