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Photoacoustic microscopy with sparse data by convolutional neural networks
The point-by-point scanning mechanism of photoacoustic microscopy (PAM) results in low-speed imaging, limiting the application of PAM. In this work, we propose a method to improve the quality of sparse PAM images using convolutional neural networks (CNNs), thereby speeding up image acquisition while...
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| Veröffentlicht in: | Photoacoustics |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2021
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7973247/ https://ncbi.nlm.nih.gov/pubmed/33763327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.pacs.2021.100242 |
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