Benefit of extending near-infrared wavelength range of diffuse reflectance spectroscopy for colorectal cancer detection using machine learning

  • Marcelo Saito Nogueira
  • , Siddra Maryam
  • , Michael Amissah
  • , Noel Lynch
  • , Shane Killeen
  • , Micheal O'Riordain
  • , Stefan Andersson-Engels

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Machine learning models can detect colorectal cancer with 93.5% sensitivity and 94.0% specificity based on diffuse reflectance spectroscopy (DRS) of superficial tissues. Extended DRS wavelength ranges improve differentiation between cancer and mucosa.

Original languageEnglish
Title of host publicationTranslational Biophotonics
Subtitle of host publicationDiagnostics and Therapeutics
EditorsZhiwei Huang, Lothar D. Lilge
PublisherSPIE
ISBN (Electronic)9781510647046
DOIs
Publication statusPublished - 2021
EventTranslational Biophotonics: Diagnostics and Therapeutics 2021 - Virtual, Online, Germany
Duration: 20 Jun 202124 Jun 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11919
ISSN (Print)1605-7422

Conference

ConferenceTranslational Biophotonics: Diagnostics and Therapeutics 2021
Country/TerritoryGermany
CityVirtual, Online
Period20/06/2124/06/21

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