Fully automated detection of primary sclerosing cholangitis (PSC)-compatible bile duct changes based on 3D magnetic resonance cholangiopancreatography using machine learning-Reference-Cited by-同舟云学术

Fully automated detection of primary sclerosing cholangitis (PSC)-compatible bile duct changes based on 3D magnetic resonance cholangiopancreatography using machine learning

Published:2020-09-24 Issue:4 Volume:31 Page:2482-2489
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Ringe Kristina I.^ORCID,Vo Chieu Van Dai,Wacker Frank,Lenzen Henrike,Manns Michael P.,Hundt Christian,Schmidt Bertil,Winther Hinrich B.

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00330-020-07323-5.pdf

Reference22 articles.

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2. Chapman R, Fevery J, Kalloo A et al (2010) Diagnosis and management of primary sclerosing cholangitis. Hepatology 51:660–678

3. European Association for the Study of the Liver (2009) EASL Clinical Practice Guidelines: management of cholestatic liver diseases. J Hepatol 51:237–267

4. Ruiz A, Lemoinne S, Carrat F, Corpechot C, Chazouilleres O, Arrive L (2014) Radiologic course of primary sclerosing cholangitis: assessment by three-dimensional magnetic resonance cholangiography and predictive features of progression. Hepatology 59:242–250

5. Schramm C, Eaton J, Ringe KI, Venkatesh S, Yamamura J, MRI working group of the IPSCSG (2017) Recommendations on the use of magnetic resonance imaging in PSC - a position statement from the International PSC Study Group. Hepatology 66:1675–1688

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