https://www.selleckchem.com/products/odm-201.html
The best result, using the RF classifier, we obtained classification rates higher than 99% of accuracy with 0.843% of standard deviation, 0.999 of the area under the Receiver Operating Characteristics (ROC) curve, 0.995 of Kappa and 0.996 of F-Measure. The experimental results demonstrate that the proposed method is promising and can potentially be used by experts to accurately diagnose dry eye syndrome in tear film images.In this study, we develop a two-layer predictor called iPro2L-PSTKNC, in order to identify various types of promote
Like
Comment
Share
