28 July 2017 A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy
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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.
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Jie Yan, Jie Yan, Yang Yu, Yang Yu, Jeon Woong Kang, Jeon Woong Kang, Zhi Yang Tam, Zhi Yang Tam, Shuoyu Xu, Shuoyu Xu, Eliza Li Shan Fong, Eliza Li Shan Fong, Surya Pratap Singh, Surya Pratap Singh, Ziwei Song, Ziwei Song, Lisa Tucker Kellogg, Lisa Tucker Kellogg, Peter So, Peter So, Hanry Yu, Hanry Yu, } "A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy", Proc. SPIE 10411, Clinical and Preclinical Optical Diagnostics, 104110Y (28 July 2017); doi: 10.1117/12.2281445; https://doi.org/10.1117/12.2281445
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