Filter-coated Raman fiber bundle probe and deep neural networks for oral cancer diagnostics

Medhanie Tesfay Gebrekidan; Andreas Siegfried Braeuer

doi:10.1364/SENSORS.2021.STu4H.5

OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES)
OSA Technical Digest (Optica Publishing Group, 2021),
paper STu4H.5
•https://doi.org/10.1364/SENSORS.2021.STu4H.5

Filter-coated Raman fiber bundle probe and deep neural networks for oral cancer diagnostics

Medhanie Tesfay Gebrekidan and Andreas Siegfried Braeuer

Optical Sensors 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-90-3

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Optical Fiber Sensors III (STu4H)

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M. T. Gebrekidan and A. S. Braeuer, "Filter-coated Raman fiber bundle probe and deep neural networks for oral cancer diagnostics," in OSA Optical Sensors and Sensing Congress 2021 (AIS, FTS, HISE, SENSORS, ES), S. Buckley, F. Vanier, S. Shi, K. Walker, I. Coddington, S. Paine, K. Lok Chan, W. Moses, S. Qian, P. Pellegrino, F. Vollmer, G. , J. Jágerská, R. Menzies, L. Emmenegger, and J. Westberg, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper STu4H.5.

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Abstract

Fibers can be coated individually with optical filters and bundled to detect Raman spectrum with two excitation and detection channels. Deep neural networks purify Raman spectra and identify oral squamous cell carcinoma (OSCC) with an accuracy of 95%.

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