Fig. 4
From: Early cancer detection by serum biomolecular fingerprinting spectroscopy with machine learning
Early screening for four representative cancers by SERS-AICS. A The SERS-AICS method could also effectively distinguish common diseases from early cancers in stage I and II with high accuracy. B ROC curves with covariance matrices-assisted SVM model for distinguishing 45 common disease patients from 35 early-stage cancer patients about lung. C ROC curves with covariance matrices-assisted SVM model for distinguishing 42 common disease patients from 32 early-stage cancer patients about colorectum. D ROC curves with covariance matrices-assisted SVM model for distinguishing 39 common disease patients from 36 early-stage of cancer patients about gastric. E ROC curves with covariance matrices-assisted SVM model for distinguishing 33 common disease patients from 32 early-stage cancer patients about liver. F The accuracy, sensitivity and specificity of different common disease/early stage of cancer