Screening ovarian cancers with Raman spectroscopy of blood plasma coupled with machine learning data processing

Volume: 265, Pages: 120355 - 120355
Published: Jan 1, 2022
Abstract
The mortality of ovarian cancer is closely related to its poor rate of early detection. In the search of an efficient diagnosis method, Raman spectroscopy of blood features as a promising technique allowing simple, rapid, minimally-invasive and cost-effective detection of cancers, in particular ovarian cancer. Although Raman spectroscopy has been demonstrated to be effective to detect ovarian cancers with respect to normal controls, a binary...
Paper Details
Title
Screening ovarian cancers with Raman spectroscopy of blood plasma coupled with machine learning data processing
Published Date
Jan 1, 2022
Volume
265
Pages
120355 - 120355
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.