Acute burn assessment using terahertz spectroscopic feature extraction and support vector machines

Mahmoud E. Khani; Omar B. Osman; Zachery B. Harris; Juin Wan Zhou; Andrew Chen; Adam J. Singer; M. Hassan Arbab

Acute burn assessment using terahertz spectroscopic feature extraction and support vector machines

Mahmoud E. Khani
, Omar B. Osman
, Zachery B. Harris
, Juin Wan Zhou
, Andrew Chen
, Adam J. Singer
, M. Hassan Arbab

Stony Brook University

Research output: Contribution to journal › Conference article › peer-review

Abstract

A hand-held THz-TDS scanner was employed for assessment of the burn injuries in a swine model. The accuracy of hyperspectral burn classification between superficial, partiall-thickness, and full-thickness categories using THz spectroscopic features was determined to be 93 percent.

Original language	English
Article number	JM4F.3
Journal	Optics InfoBase Conference Papers
State	Published - 2021
Event	CLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States Duration: May 9 2021 → May 14 2021

Cite this

@article{291e655961f04b2f87b761eff8080ffe,

title = "Acute burn assessment using terahertz spectroscopic feature extraction and support vector machines",

abstract = "A hand-held THz-TDS scanner was employed for assessment of the burn injuries in a swine model. The accuracy of hyperspectral burn classification between superficial, partiall-thickness, and full-thickness categories using THz spectroscopic features was determined to be 93 percent.",

author = "Khani, \{Mahmoud E.\} and Osman, \{Omar B.\} and Harris, \{Zachery B.\} and Zhou, \{Juin Wan\} and Andrew Chen and Singer, \{Adam J.\} and Arbab, \{M. Hassan\}",

note = "Publisher Copyright: {\textcopyright} OSA 2021, {\textcopyright} 2021 The Author(s); CLEO: QELS\_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021 ; Conference date: 09-05-2021 Through 14-05-2021",

year = "2021",

language = "English",

journal = "Optics InfoBase Conference Papers",

issn = "2162-2701",

}

TY - JOUR

T1 - Acute burn assessment using terahertz spectroscopic feature extraction and support vector machines

AU - Khani, Mahmoud E.

AU - Osman, Omar B.

AU - Harris, Zachery B.

AU - Zhou, Juin Wan

AU - Chen, Andrew

AU - Singer, Adam J.

AU - Arbab, M. Hassan

PY - 2021

Y1 - 2021

N2 - A hand-held THz-TDS scanner was employed for assessment of the burn injuries in a swine model. The accuracy of hyperspectral burn classification between superficial, partiall-thickness, and full-thickness categories using THz spectroscopic features was determined to be 93 percent.

AB - A hand-held THz-TDS scanner was employed for assessment of the burn injuries in a swine model. The accuracy of hyperspectral burn classification between superficial, partiall-thickness, and full-thickness categories using THz spectroscopic features was determined to be 93 percent.

UR - https://www.scopus.com/pages/publications/85119422601

M3 - Conference article

AN - SCOPUS:85119422601

SN - 2162-2701

JO - Optics InfoBase Conference Papers

JF - Optics InfoBase Conference Papers

M1 - JM4F.3

T2 - CLEO: QELS_Fundamental Science, CLEO: QELS 2021 - Part of Conference on Lasers and Electro-Optics, CLEO 2021

Y2 - 9 May 2021 through 14 May 2021

ER -

Acute burn assessment using terahertz spectroscopic feature extraction and support vector machines

Abstract

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