Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection

Benutzer: Gast

Dokumenttyp:: Zeitschriftenaufsatz
Autor(en):: Schlaeger, Sarah ; Drummer, Katharina ; Husseini, Malek El ; Kofler, Florian ; Sollmann, Nico ; Schramm, Severin ; Zimmer, Claus ; Kirschke, Jan S. ; Wiestler, Benedikt
Titel:: Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection
Stichworte:: Article ; magnetic resonance imaging ; spine ; generative adversarial network ; T2-w fat saturated images ; data augmentation
Zeitschriftentitel:: Diagnostics
Jahr:: 2023
Band / Volume:: 13
Heft / Issue:: 5
Volltext / DOI:: doi:10.3390/diagnostics13050974
Verlag / Institution:: MDPI
E-ISSN:: 2075-4418
Publikationsdatum:: 03.03.2023
CC-Lizenz:: by, https://creativecommons.org/licenses/by/4.0

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