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Prostate cancer identification via photoacoustic spectroscopy and machine learning
Photoacoustic spectroscopy can generate abundant chemical and physical information about biological tissues. However, this abundance of information makes it difficult to compare these tissues directly. Data mining methods can circumvent this problem. We describe the application of machine-learning m...
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| Pubblicato in: | Photoacoustics |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Elsevier
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8209684/ https://ncbi.nlm.nih.gov/pubmed/34168956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.pacs.2021.100280 |
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