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Review of deep learning for photoacoustic imaging
Machine learning has been developed dramatically and witnessed a lot of applications in various fields over the past few years. This boom originated in 2009, when a new model emerged, that is, the deep artificial neural network, which began to surpass other established mature models on some importan...
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| 出版年: | Photoacoustics |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7779783/ https://ncbi.nlm.nih.gov/pubmed/33425679 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.pacs.2020.100215 |
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