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Deep learning for FTIR histology: leveraging spatial and spectral features with convolutional neural networks
Current methods for cancer detection rely on tissue biopsy, chemical labeling/staining, and examination of the tissue by a pathologist. Though these methods continue to remain the gold standard, they are non-quantitative and susceptible to human error. Fourier transform infrared (FTIR) spectroscopic...
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| Publicado no: | Analyst |
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| Principais autores: | , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6450401/ https://ncbi.nlm.nih.gov/pubmed/30644947 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1039/c8an01495g |
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