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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Vydáno v:Analyst
Hlavní autoři: Berisha, Sebastian, Lotfollahi, Mahsa, Jahanipour, Jahandar, Gurcan, Ilker, Walsh, Michael, Bhargava, Rohit, Nguyen, Hien Van, Mayerich, David
Médium: Artigo
Jazyk:Inglês
Vydáno: 2019
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Article
On-line přístup: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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