Review of machine learning for optical imaging of burn wound severity assessment.

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Bibliographic Details
Title: Review of machine learning for optical imaging of burn wound severity assessment.
Authors: Wilson RH; University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.; University of California, Irvine, Department of Medicine, Orange, California, United States.; University of California, Irvine, Health Policy Research Institute, Irvine, California, United States., Rowland R; University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States., Kennedy GT; University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States., Campbell C; University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States., Joe VC; UC Irvine Health Regional Burn Center, Orange, California, United States., Chin TL; UC Irvine Medical Center, Orange, California, United States., Burmeister DM; Uniformed Services University of the Health Sciences, School of Medicine, Bethesda, Maryland, United States., Christy RJ; UT Health San Antonio, Military Health Institute, San Antonio, Texas, United States., Durkin AJ; University of California, Irvine, Beckman Laser Institute and Medical Clinic, Irvine, California, United States.; University of California, Irvine, Department of Biomedical Engineering, Irvine, California, United States.
Source: Journal of biomedical optics [J Biomed Opt] 2024 Feb; Vol. 29 (2), pp. 020901. Date of Electronic Publication: 2024 Feb 15.
Publication Type: Journal Article; Review; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info: Publisher: Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society Country of Publication: United States NLM ID: 9605853 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1560-2281 (Electronic) Linking ISSN: 10833668 NLM ISO Abbreviation: J Biomed Opt Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1560-2281
DOI:10.1117/1.JBO.29.2.020901