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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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| Publié dans: | IEEE Trans Biomed Eng |
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| Auteurs principaux: | , , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2018
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| Sujets: | |
| Accès en ligne: | 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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