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

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Document type:: Zeitschriftenaufsatz
Author(s):: Schlaeger, Sarah ; Drummer, Katharina ; Husseini, Malek El ; Kofler, Florian ; Sollmann, Nico ; Schramm, Severin ; Zimmer, Claus ; Kirschke, Jan S. ; Wiestler, Benedikt
Title:: Implementation of GAN-Based, Synthetic T2-Weighted Fat Saturated Images in the Routine Radiological Workflow Improves Spinal Pathology Detection
Keywords:: Article ; magnetic resonance imaging ; spine ; generative adversarial network ; T2-w fat saturated images ; data augmentation
Journal title:: Diagnostics
Year:: 2023
Journal volume:: 13
Journal issue:: 5
Fulltext / DOI:: doi:10.3390/diagnostics13050974
Publisher:: MDPI
E-ISSN:: 2075-4418
Date of publication:: 03.03.2023
CC license:: by, https://creativecommons.org/licenses/by/4.0

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