A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
The ability of combining serum surface-enhanced Raman spectroscopy (SERS) with support vector machine (SVM) for improving classification esophageal cancer patients from normal volunteers is investigated. Two groups of serum SERS spectra based on silver nanoparticles (AgNPs) are obtained: one group from patients with pathologically confirmed esophageal cancer (n ¼ 30) and the other group from healthy volunteers (n ¼ 31). Principal components analysis (PCA), conventional SVM (C-SVM) anddoi:10.1117/1.jbo.18.2.027008 pmid:23389685 fatcat:csy62ed5azhw5dj34iaajfp3qa