Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy

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

doi:10.1117/12.2615033

7 December 2021 Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy

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

Author Affiliations +

Proceedings Volume 11919, Translational Biophotonics: Diagnostics and Therapeutics; 1191929 (2021) https://doi.org/10.1117/12.2615033
Event: European Conferences on Biomedical Optics, 2021, Online Only

Abstract

Optimizing support vector machine models for colorectal cancer detection using diffuse reflectance spectroscopy at extended wavelength ranges and tissue layers up to 2mm deep achieved 96.1% sensitivity and 95.7% specificity on tissue classification.

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Marcelo Saito Nogueira, Michael Amissah, Siddra Maryam, Noel Lynch, Shane Killeen, Michael O'Riordain, and Stefan Andersson-Engels "Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy", Proc. SPIE 11919, Translational Biophotonics: Diagnostics and Therapeutics, 1191929 (7 December 2021); https://doi.org/10.1117/12.2615033

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