Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans

Abstract In this retrospective study, we aimed to assess the objective and subjective image quality of different reconstruction techniques and a deep learning-based software on non-contrast head computed tomography (CT) images. In total, 152 adult head CT scans (77 female, 75 male; mean age 69.4 ± 1...

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Egile Nagusiak:	Denise Bos, Aydin Demircioğlu, Julia Neuhoff, Johannes Haubold, Sebastian Zensen, Marcel K. Opitz, Marcel A. Drews, Yan Li, Hanna Styczen, Michael Forsting, Kai Nassenstein
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2024-05-01
Saila:	Scientific Reports
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-024-62394-4
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!