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Optical coherence tomography combined with convolutional neural networks can differentiate between intrahepatic cholangiocarcinoma and liver parenchyma ex vivo

Crossref DOI link: https://doi.org/10.1007/s00432-023-04742-x

Published Online: 2023-04-12

Published Print: 2023-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Wolff, Laura I.

Hachgenei, Enno

Goßmann, Paul

Druzenko, Mariia

Frye, Maik

König, Niels

Schmitt, Robert H.

Chrysos, Alexandros

Jöchle, Katharina

Truhn, Daniel

Kather, Jakob Nikolas

Lambertz, Andreas

Gaisa, Nadine T.

Jonigk, Danny

Ulmer, Tom F.

Neumann, Ulf P.

Lang, Sven A.

Amygdalos, Iakovos
Funding

Funding for this research was provided by:

RWTH Aachen University
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Text and Data Mining valid from 2023-04-12

Version of Record valid from 2023-04-12
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Article History

Received: 14 February 2023

Accepted: 2 April 2023

First Online: 12 April 2023

Declarations

:

: The authors declare no potential conflicts of interest.

: The study was conducted under ethical approval of the Institutional Review Board of the RWTH Aachen University (EK-105/20) and in accordance with the current version of the Declaration of Helsinki, the Declaration of Istanbul, and Good Clinical Practice Guidelines (ICHGCP). All patients provided written informed consent before inclusion in this study.

: Not applicable.

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