Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner

Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner

Abstract We present an automatic classification strategy for early and accurate assessment of burn injuries using terahertz (THz) time-domain spectroscopic imaging. Burn injuries of different severity grades, representing superficial partial-thickness (SPT), deep partial-thickness (DPT), and full-th...

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Bibliographic Details
Main Authors: Mahmoud E. Khani, Zachery B. Harris, Omar B. Osman, Juin W. Zhou, Andrew Chen, Adam J. Singer, M. Hassan Arbab
Format: Article
Language:English
Published: Nature Portfolio 2022-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-08940-4

Internet

https://doi.org/10.1038/s41598-022-08940-4

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