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Advancing cervical cancer diagnosis and screening with spectroscopy and machine learning.

Carlos A Meza RamirezMichael GreenopYasser A AlmoshawahPierre L Martin HirschIhtasham Ur Rehman
Published in: Expert review of molecular diagnostics (2023)
Although there are several methods and techniques to detect cervical cancer, the clinical sector requires to introduce new diagnostic technologies that help improving the quality of life of patient. These innovative technologies involve spectroscopy as a qualitative method and machine learning as a quantitative method. In this article, both the techniques and methodologies that allow and promise to be a new screening tool for the detection of cervical cancer is covered.
Keyphrases
  • machine learning
  • high resolution
  • big data
  • single molecule
  • artificial intelligence
  • case report
  • solid state
  • deep learning
  • label free