Early screening for four representative cancers by SERS-AICS. (IMAGE)

Light Publishing Center, Changchun Institute of Optics, Fine Mechanics And Physics, CAS

Early screening for four representative cancers by SERS-AICS.

Caption

(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 33 early stage of cancer patients about lung. (C) ROC curves with covariance matrices-assisted SVM model for distinguishing 42 common disease patients from 32 early stage of 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 of cancer patients about liver. (F) The accuracy, sensitivity and specificity of different common disease/early stage of cancer.

Credit

by Shilian Dong, Dong He, Qian Zhang, Chaoning Huang, Zhiheng Hu, Chenyang Zhang, Lei Nie, Kun Wang, Wei Luo, Jing Yu, Bin Tian, Wei Wu, Xu Chen, Fubing Wang, Jing Hu and Xiangheng Xiao

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CC BY

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