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; Stefan Andersson-Engels

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
, Stefan Andersson-Engels

University College Cork

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	EW4A.17
Journal	Optics InfoBase Conference Papers
Publication status	Published - 2021
Event	2021 European Conferences on Biomedical Optics, ECBO 2021 - Virtual, Online, Germany Duration: 20 Jun 2021 → 24 Jun 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Cite this

@article{55d1707d2205499d9d2c93c2ca25de6f,

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

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.",

author = "Nogueira, \{Marcelo Saito\} and Michael Amissah and Siddra Maryam and Noel Lynch and Shane Killeen and Micheal O{\textquoteright}Riordain and Stefan Andersson-Engels",

note = "Publisher Copyright: {\textcopyright} 2021 The Author (s).; 2021 European Conferences on Biomedical Optics, ECBO 2021 ; Conference date: 20-06-2021 Through 24-06-2021",

year = "2021",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Optimization of tissue classification for colorectal cancer detection using support vector machines and diffuse reflectance spectroscopy

AU - Nogueira, Marcelo Saito

AU - Amissah, Michael

AU - Maryam, Siddra

AU - Lynch, Noel

AU - Killeen, Shane

AU - O’Riordain, Micheal

AU - Andersson-Engels, Stefan

PY - 2021

Y1 - 2021

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85119417735

M3 - Article

AN - SCOPUS:85119417735

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - EW4A.17

T2 - 2021 European Conferences on Biomedical Optics, ECBO 2021

Y2 - 20 June 2021 through 24 June 2021

ER -

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

Abstract

UN SDGs

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