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

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

European Conferences on Biomedical Optics 2021 (ECBO)
OSA Technical Digest (Optica Publishing Group, 2021),
paper EW4A.17

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, Micheal O’Riordain, and Stefan Andersson-Engels

European Conference on Biomedical Optics 2021

Munich Germany
20–24 June 2021
ISBN: 978-1-943580-95-8

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Poster Session III (EW4A)

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M. S. Nogueira, M. Amissah, S. Maryam, N. Lynch, S. Killeen, M. O’Riordain, and S. Andersson-Engels, "Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy," in European Conferences on Biomedical Optics 2021 (ECBO), OSA Technical Digest (Optica Publishing Group, 2021), paper EW4A.17.

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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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