A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI
Article
Winther, Hinrich, Hundt, Christian, Ringe, Kristina Imeen, Wacker, Frank K., Schmidt, Bertil, Jürgens, Julian, Haimerl, Michael, Beyer, Lukas Philipp
, Stroszczynski, Christian, Wiggermann, Philipp and Verloh, Niklas
(2021)
A 3D Deep Neural Network for Liver Volumetry in 3T Contrast-Enhanced MRI.
RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren 193 (03), pp. 305-314.
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| Item type | Article | ||||
| Journal or Publication Title | RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren | ||||
| Publisher | GEORG THIEME VERLAG KG | ||||
| Place of Publication | STUTTGART | ||||
| Volume | 193 | ||||
| Number of Issue or Book Chapter | 03 | ||||
| Page Range | pp. 305-314 | ||||
| Date | 2021 | ||||
| Date of publication | 11 Oct 2021 13:10 | ||||
| Institutions | Medicine > Lehrstuhl für Röntgendiagnostik | ||||
| Identification Number |
| ||||
| Keywords | AUTOMATIC LIVER; HEPATOBILIARY PHASE; GADOLINIUM CHELATE; ACTIVE CONTOURS; HEPATIC-UPTAKE; SEGMENTATION; AGENT; CT; REMNANT; DTPA; liver segmentation; liver volumetry; semantic segmentation; fully automated segmentation; contrast-enhanced liver MRI | ||||
| Dewey Decimal Classification | 600 Technology > 610 Medical sciences Medicine | ||||
| Status | Published | ||||
| Refereed | Yes, this version has been refereed | ||||
| Created at the University of Regensburg | Yes | ||||
| Item ID | 50641 |
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