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; Michael O'Riordain; Stefan Andersson-Engels

doi:10.1117/12.2615031

7 December 2021 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, Michael O'Riordain, Stefan Andersson-Engels

Author Affiliations +

Proceedings Volume 11919, Translational Biophotonics: Diagnostics and Therapeutics; 1191928 (2021) https://doi.org/10.1117/12.2615031
Event: European Conferences on Biomedical Optics, 2021, Online Only

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.

Citation Download Citation

Marcelo Saito Nogueira, Siddra Maryam, Michael Amissah, Noel Lynch, Shane Killeen, Michael O'Riordain, and Stefan Andersson-Engels "Benefit of extending near-infrared wavelength range of diffuse reflectance spectroscopy for colorectal cancer detection using machine learning", Proc. SPIE 11919, Translational Biophotonics: Diagnostics and Therapeutics, 1191928 (7 December 2021); https://doi.org/10.1117/12.2615031

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