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Deep-learning-based direct inversion for material decomposition
PURPOSE: To develop a convolutional neural network (CNN) that can directly estimate material density distribution from multi-energy CT images without performing conventional material decomposition. METHODS: The proposed CNN (denoted as Incept-net) followed the general framework of encoder-decoder ne...
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| Publié dans: | Med Phys |
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| Auteurs principaux: | , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7796910/ https://ncbi.nlm.nih.gov/pubmed/33020942 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.14523 |
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