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Convolutional auto-encoder for image denoising of ultra-low-dose CT
OBJECTIVES: The purpose of this study was to validate a patch-based image denoising method for ultra-low-dose CT images. Neural network with convolutional auto-encoder and pairs of standard-dose CT and ultra-low-dose CT image patches were used for image denoising. The performance of the proposed met...
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| Publicado no: | Heliyon |
|---|---|
| Main Authors: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5577435/ https://ncbi.nlm.nih.gov/pubmed/28920094 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.heliyon.2017.e00393 |
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