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A deep-learning-based approach for noise reduction in high-speed Optical coherence Doppler tomography
Optical coherence Doppler tomography (ODT) increasingly attracts attention because of its unprecedented advantages with respect to high contrast, capillary-level resolution and flow speed quantification. However, the trade-off between the signal-to-noise ratio (SNR) of ODT images and A-scan sampling...
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| 出版年: | J Biophotonics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7722172/ https://ncbi.nlm.nih.gov/pubmed/32649059 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/jbio.202000084 |
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