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Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography
To minimize radiation risk, dose reduction is important in the diagnostic and therapeutic applications of computed tomography (CT). However, image noise degrades image quality owing to the reduced X-ray dose and a possible unacceptably reduced diagnostic performance. Deep learning approaches with co...
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| Publicado no: | Vis Comput Ind Biomed Art |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Singapore
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8310822/ https://ncbi.nlm.nih.gov/pubmed/34304321 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s42492-021-00087-9 |
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