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Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise

OBJECTIVE: Iterative reconstruction degrades image quality. Thus, further advances in image reconstruction are necessary to overcome some limitations of this technique in low-dose computed tomography (LDCT) scan of the chest. Deep-learning image reconstruction (DLIR) is a new method used to reduce d...

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Detalles Bibliográficos
Autores principales:	Kim, Joo Hee, Yoon, Hyun Jung, Lee, Eunju, Kim, Injoong, Cha, Yoon Ki, Bak, So Hyeon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Korean Society of Radiology 2021
Materias:	Thoracic Imaging
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7772377/ https://www.ncbi.nlm.nih.gov/pubmed/32729277 http://dx.doi.org/10.3348/kjr.2020.0116

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