Deep learning data augmentation for Raman spectroscopy cancer tissue classification

Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, due to the uniqueness of RS measurements in revealing molecular biochemical changes between cancerous vs. normal tissues and cells. In order to design computational approaches for cancer detection, th...

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Detalles Bibliográficos
Autores principales: Wu, Man, Wang, Shuwen, Pan, Shirui, Terentis, Andrew C., Strasswimmer, John, Zhu, Xingquan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668947/
https://www.ncbi.nlm.nih.gov/pubmed/34903743
http://dx.doi.org/10.1038/s41598-021-02687-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668947/
https://www.ncbi.nlm.nih.gov/pubmed/34903743
http://dx.doi.org/10.1038/s41598-021-02687-0

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