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End-to-end Res-Unet based reconstruction algorithm for photoacoustic imaging
Recently, deep neural networks have attracted great attention in photoacoustic imaging (PAI). In PAI, reconstructing the initial pressure distribution from acquired photoacoustic (PA) signals is a typically inverse problem. In this paper, an end-to-end Unet with residual blocks (Res-Unet) is designe...
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| 發表在: | Biomed Opt Express |
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| Main Authors: | , , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Optical Society of America
2020
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7510873/ https://ncbi.nlm.nih.gov/pubmed/33014617 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.396598 |
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