Improving Automated Hemorrhage Detection in Sparse-view CT via                     U-Net-based Artifact Reduction

Title:: Improving Automated Hemorrhage Detection in Sparse-view CT via U-Net-based Artifact Reduction
Document type:: Zeitschriftenaufsatz
Author(s):: Thalhammer, Johannes; Schultheiß, Manuel; Dorosti, Tina; Lasser, Tobias; Pfeiffer, Franz; Pfeiffer, Daniela; Schaff, Florian
Journal title:: Radiology: Artificial Intelligence
Year:: 2024
Fulltext / DOI:: doi:10.1148/ryai.230275
Publisher:: Radiological Society of North America (RSNA)
E-ISSN:: 2638-6100
Date of publication:: 08.05.2024
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