SAT-294. Automated quantitation of steatosis, inflammation, ballooning
and fibrosis using machine learning in routine histological
images of liver biopsies of patients with NAFLD

File(s)

SAT-294.pdf (715.03 KB)

Accepted version

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Author(s)

Forlano, Roberta

Mullish, Benjamin H

Giannakeas, Nikos

Maurice, James

Tsipouras, Markos

more

Type

Conference Paper

Date Issued

2019-04-01

Date Acceptance

2019-01-17

Citation

Journal of Hepatology, 2019, 70 (Supplement S1), pp.e767-e768

URI

http://hdl.handle.net/10044/1/68296

DOI

https://www.dx.doi.org/10.1016/S0618-8278(19)31526-9

ISSN

0168-8278

Publisher

Elsevier

Start Page

e767

End Page

e768

Journal / Book Title

Journal of Hepatology

Volume

70

Issue

Supplement S1

Copyright Statement

© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/

Sponsor

Imperial College Healthcare NHS Trust- BRC Funding

Medical Research Council

Medical Research Council (MRC)

European Association for the Study of Liver

European Association of the Study of the Liver

Grant Number

RDA27

MR/R00875/1

MR/R000875/1

N/A

Source

International Liver Congress (ILC)

Subjects

1103 Clinical Sciences

Gastroenterology & Hepatology

Publication Status

Published

Start Date

2019-04-10

Finish Date

2019-04-14

Coverage Spatial

Vienna, Austria

Date Publish Online

2019-03-15