You are here

  • Home
  • Archive
  • Volume 32, Issue Suppl 2
  • 2022-RA-1457-ESGO Gynecological cancer detection using fourier-transformed infra-red spectroscopy in urine samples: potential and accuracy of machine learning processing

Citation Tools

Article menu

Download PDFPDF

Translational research/biomarkers
2022-RA-1457-ESGO Gynecological cancer detection using fourier-transformed infra-red spectroscopy in urine samples: potential and accuracy of machine learning processing
Free

Download to a citation manager

Download the citation for this article by clicking on one of the following citation managers:

Cite this article as:
Vigo F, Tozzi A, Disler M, et al
2022-RA-1457-ESGO Gynecological cancer detection using fourier-transformed infra-red spectroscopy in urine samples: potential and accuracy of machine learning processing
International Journal of Gynecologic Cancer 2022;32:A417.