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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...
Autores principales: | Alsamadony, Khalid L., Yildirim, Ertugrul U., Glatz, Guenther, Waheed, Umair Bin, Hanafy, Sherif M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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