Cargando…
Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer
This study addresses the core issue facing a surgical team during breast cancer surgery: quantitative prediction of tumor likelihood including estimates of prediction error. We have previously reported that a molecular probe, Laser Raman spectroscopy (LRS), can distinguish healthy and tumor tissue....
Autores principales: | Kothari, Ragini, Jones, Veronica, Mena, Dominique, Bermúdez Reyes, Viviana, Shon, Youkang, Smith, Jennifer P., Schmolze, Daniel, Cha, Philip D., Lai, Lily, Fong, Yuman, Storrie-Lombardi, Michael C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7985361/ https://www.ncbi.nlm.nih.gov/pubmed/33753760 http://dx.doi.org/10.1038/s41598-021-85758-6 |
Ejemplares similares
-
Review of Laser Raman Spectroscopy for Surgical Breast Cancer Detection: Stochastic Backpropagation Neural Networks
por: Kothari, Ragini, et al.
Publicado: (2020) -
Raman Spectroscopy for Rapid Evaluation of Surgical Margins during Breast Cancer Lumpectomy
por: Zúñiga, Willie C., et al.
Publicado: (2019) -
Bayesian Quantification for Coherent Anti-Stokes Raman
Scattering Spectroscopy
por: Härkönen, Teemu, et al.
Publicado: (2020) -
The Theory of Surface-Enhanced Raman Spectroscopy on Organic Semiconductors: Graphene
por: Lombardi, John R.
Publicado: (2022) -
Raman spectroscopy
por: Bhattacharjee, Tanmoy
Publicado: (2015)