SERS-AICS characterization of five cancers with high mortality. (IMAGE)

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

SERS-AICS characterization of five cancers with high mortality.

Caption

ROC curves with covariance matrices-assisted SVM model for distinguishing (A) 244 lung cancer patients, (B) 216 colorectal carcinoma patients, (C) 195 gastric cancer patients, (D) 203 hepatocellular carcinoma patients, (E) 193 esophageal carcinoma patients, (F) 400 mixture cancer patients from 324 healthy controls in the internal cohort. The (G) accuracy, (H) sensitivity and (I) specificity of single or multiple cancers/healthy control, the overall accuracy, sensitivity and specificity of all cancers could reach at 95.81%, 95.87%, 95.40%. The 400 mixed cancer patients were obtained by randomly selecting 80 samples from the five types of cancer each.

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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License

CC BY

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