A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy

Author(s)
Yu, Yang; Kang, Jeon Woong; Tam, Zhi Yang; Xu, Shuo Yu; Fong, Eliza Li Shan; ... Show more
Thumbnail
Download104110Y.pdf (557.8Kb)
PUBLISHER_POLICY
Terms of use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Metadata
Show full item record
Abstract
We combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established non-alcoholic steatohepatitis (NASH) mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression.
Date issued
2017-06
URI
http://hdl.handle.net/1721.1/116906
Department
Massachusetts Institute of Technology. Department of Chemistry; Massachusetts Institute of Technology. Laser Biomedical Research Center
Journal
Clinical and Preclinical Optical Diagnostics
Publisher
SPIE
Citation
Yu, Yang, et al. "A Classification Model for Non-Alcoholic Steatohepatitis (NASH) Using Confocal Raman Micro-Spectroscopy." 25-29 June 2017, Munich, Germany, edited by J. Quincy Brown and Ton G. van Leeuwen, SPIE, 2017, p. 101. © 2017 OSA-SPIE
Version: Final published version
ISBN
9781510612808
9781510612815
Collections