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3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Low-dose computed tomography (CT) has attracted major attention in the medical imaging field, since CT-associated x-ray radiation carries health risks for patients. The reduction of the CT radiation dose, however, compromises the signal-to-noise ratio, which affects image quality and diagnostic perf...
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| Vydáno v: | IEEE Trans Med Imaging |
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| Hlavní autoři: | , , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2018
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6022756/ https://ncbi.nlm.nih.gov/pubmed/29870379 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2832217 |
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