P.09.25 MACHINE LEARNING APPROACHES FOR NON-INVASIVE ULTRASOUND-BASED QUANTITATIVE ASSESSMENT OF LIVER STEATOSIS. Issue 2 (15th March 2018)

Record Type:: Journal Article
Title:: P.09.25 MACHINE LEARNING APPROACHES FOR NON-INVASIVE ULTRASOUND-BASED QUANTITATIVE ASSESSMENT OF LIVER STEATOSIS. Issue 2 (15th March 2018)
Main Title:: P.09.25 MACHINE LEARNING APPROACHES FOR NON-INVASIVE ULTRASOUND-BASED QUANTITATIVE ASSESSMENT OF LIVER STEATOSIS
Authors:: Salvati, A.
Di Lascio, N.
Avigo, C.
Martini, N.
Ragucci, M.
Monti, S.
Prinster, A.
Dante, C.
Mancini, M.
D'Elia, D.
Ghiadoni, L.
Bonino, F.
Brunetto, M.R.
Faita, F.
Abstract:
Is Part Of:: Digestive and liver disease. Volume 50:Issue 2(2018)Supplement
Journal:: Digestive and liver disease
Issue:: Volume 50:Issue 2(2018)Supplement
Issue Display:: Volume 50, Issue 2 (2018)
Year:: 2018
Volume:: 50
Issue:: 2
Issue Sort Value:: 2018-0050-0002-0000
Page Start:: e225
Page End:: e226
Publication Date:: 2018-03-15
Subjects:: Digestive organs -- Diseases -- Periodicals
Liver -- Diseases -- Periodicals
616.33005
Journal URLs:: http://www.sciencedirect.com/science/journal/15908658 ↗
http://www.elsevier.com/journals ↗
DOI:: 10.1016/S1590-8658(18)30630-3 ↗
Languages:: English
ISSNs:: 1590-8658
Deposit Type:: Legaldeposit
View Content:: Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:: British Library DSC - 3588.345600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store
Ingest File:: 6450.xml