CORE
🇺🇦Â
 make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Development and validation of an artificial intelligence model for predicting post-transplant hepatocellular cancer recurrence
Authors
Salvatore Agnes
Prashant Bhangui
+19Â more
Chao-Long Chen
Umberto Cillo
Carmine De Stefano
Jean Emond
Giuseppe Maria Ettorre
EurHeCaLT and the West-East LT Study Group
Maria Hoppe-Lotichius
Toru Ikegami
Takashi Ito
Quirino Lai
Jan Paul Lerut
Chung Mau Lo
Anna Mrzljak
Matteo Ravaioli
Massimo Rossi
Benedikt Schaefer
Giuseppe Tisone
Emmanuel Tsochatzis
Marco Vivarelli
Publication date
30 October 2023
Publisher
'Royal College of Obstetricians & Gynaecologists (RCOG)'
Abstract
Abstract is not available.
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
UCL Discovery
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:eprints.ucl.ac.uk.OAI2:101...
Last time updated on 16/11/2023