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Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed up. In this paper, we present a deep neural network that is specifically designed to provide high resolution 3-D images from restricted pho...
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| Pubblicato in: | IEEE Trans Med Imaging |
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| Autori principali: | , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7613684/ https://ncbi.nlm.nih.gov/pubmed/29870367 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TMI.2018.2820382 |
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