Download from app store
We have detected that you are using an Ad Blocker.
PracticeUpdate is free to end users but we rely on advertising to fund our site. Please consider supporting PracticeUpdate by whitelisting us in your ad blocker.
We have sent a message to the email address you have provided, . If this email is not correct, please update your settings with your correct address.
The email address you provided during registration, , does not appear to be valid. Please update your settings with a valid address before to continue using PracticeUpdate.
Please provide your AHPRA Number to ensure that you are given the correct level of access to our site.
Published in Gastroenterology

Journal Scan / Research · September 23, 2020

EUS-Based Convolutional Neural Network Model Can Identify and Classify Hepatic Masses

Gastrointestinal Endoscopy


Additional Info

Disclosure statements are available on the authors' profiles:

Gastrointestinal Endoscopy
Application of Artificial Intelligence Using a Novel EUS-Based Convolutional Neural Network Model to Identify and Distinguish Benign From Malignant Hepatic Masses
Gastrointest. Endosc. 2020 Aug 27;[EPub Ahead of Print], NB Marya, PD Powers, L Fujii-Lau, BA Dayyeh, FC Gleeson, S Chen, Z Long, D Hough M, V Chandrasekhara, P Iyer, E Rajan, W Sanchez, T Sawas, A Storm, KK Wang, MJ Levy

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

Further Reading