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Medical Image Synthesis with Deep Convolutional Adversarial Networks
Medical imaging plays a critical role in various clinical applications. However, due to multiple considerations such as cost and radiation dose, the acquisition of certain image modalities may be limited. Thus, medical image synthesis can be of great benefit by estimating a desired imaging modality...
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| Yayımlandı: | IEEE Trans Biomed Eng |
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| Asıl Yazarlar: | , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6398343/ https://ncbi.nlm.nih.gov/pubmed/29993445 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TBME.2018.2814538 |
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