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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.

© 2017 SPIE

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