Deep Learning Driven Noise Reduction for Reduced Flux Computed Tomography

Deep neural networks have received considerable attention in clinical imaging, particularly with respect to the reduction of radiation risk. Lowering the radiation dose by reducing the photon flux inevitably results in the degradation of the scanned image quality. Thus, researchers have sought to ex...

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Detalles Bibliográficos
Autores principales: Alsamadony, Khalid L., Yildirim, Ertugrul U., Glatz, Guenther, Waheed, Umair Bin, Hanafy, Sherif M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967200/
https://www.ncbi.nlm.nih.gov/pubmed/33803464
http://dx.doi.org/10.3390/s21051921

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7967200/
https://www.ncbi.nlm.nih.gov/pubmed/33803464
http://dx.doi.org/10.3390/s21051921

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