Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

Celina L. Li; Carl J. Fisher; Katarzyna Komolibus; Konstantin Grygoryev; Ray Burke; Stefan Andersson-Engels

Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

University College Cork

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

Abstract

DRS-based measurements of tissue types encountered in orthopedic surgery are utilized to establish a wavelength selection methodology using machine learning techniques, which enables rapid development of clinically translatable optical systems.

Original language	English
Article number	TS4B.6
Journal	Optics InfoBase Conference Papers
Publication status	Published - 2022
Event	Clinical and Translational Biophotonics, Translational 2022 - Fort Lauderdale, United States Duration: 24 Apr 2022 → 27 Apr 2022

Cite this

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title = "Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery",

abstract = "DRS-based measurements of tissue types encountered in orthopedic surgery are utilized to establish a wavelength selection methodology using machine learning techniques, which enables rapid development of clinically translatable optical systems.",

author = "Li, \{Celina L.\} and Fisher, \{Carl J.\} and Katarzyna Komolibus and Konstantin Grygoryev and Ray Burke and Stefan Andersson-Engels",

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year = "2022",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

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TY - JOUR

T1 - Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

AU - Li, Celina L.

AU - Fisher, Carl J.

AU - Komolibus, Katarzyna

AU - Grygoryev, Konstantin

AU - Burke, Ray

AU - Andersson-Engels, Stefan

PY - 2022

Y1 - 2022

N2 - DRS-based measurements of tissue types encountered in orthopedic surgery are utilized to establish a wavelength selection methodology using machine learning techniques, which enables rapid development of clinically translatable optical systems.

AB - DRS-based measurements of tissue types encountered in orthopedic surgery are utilized to establish a wavelength selection methodology using machine learning techniques, which enables rapid development of clinically translatable optical systems.

UR - https://www.scopus.com/pages/publications/85136371998

M3 - Article

AN - SCOPUS:85136371998

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - TS4B.6

T2 - Clinical and Translational Biophotonics, Translational 2022

Y2 - 24 April 2022 through 27 April 2022

ER -

Wavelength selection using diffuse reflectance spectra and machine learning algorithms for tissue differentiation in orthopedic surgery

Abstract

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