TY - GEN
T1 - Deep Neural Network Classification of In Vivo Burn injuries with Different Etiologies Using THz Time-Domain Spectral Imaging
AU - Osman, Omar B.
AU - Harris, Zachery B.
AU - Zhou, Juin Wan
AU - Khani, Mahmoud E.
AU - Chen, Andrew
AU - Singer, Adam J.
AU - Arbab, M. Hassan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Patients arrive in burn centers with many etiologies of burn incidence (such as scald, contact, flame, steam, etc.). Treatment of these injuries depends on the burn depth and surface area of these burns. Moreover, earlier diagnosis and treatment of these burns lead to better patient outcomes. In this study, we show that THz-TDS imaging with a neural network classification algorithm can reproducibly classify burns, independent of their etiology, with an ROC-AUC of 88% in a porcine model.
AB - Patients arrive in burn centers with many etiologies of burn incidence (such as scald, contact, flame, steam, etc.). Treatment of these injuries depends on the burn depth and surface area of these burns. Moreover, earlier diagnosis and treatment of these burns lead to better patient outcomes. In this study, we show that THz-TDS imaging with a neural network classification algorithm can reproducibly classify burns, independent of their etiology, with an ROC-AUC of 88% in a porcine model.
UR - https://www.scopus.com/pages/publications/85125292948
U2 - 10.1109/IRMMW-THz50926.2021.9567529
DO - 10.1109/IRMMW-THz50926.2021.9567529
M3 - Conference contribution
AN - SCOPUS:85125292948
T3 - International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz
BT - 2021 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021
PB - IEEE Computer Society
T2 - 46th International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz 2021
Y2 - 30 August 2021 through 3 September 2021
ER -