https://www.selleckchem.com/products/tak-981.html
All tumor tissues from multiparametric MRI were fully automatically segmented into three subregions to calculate the radiomic features. Based on the training set, the most powerful radiomic features were selected to constitute radiomic signature. Receiver operating characteristic (ROC) curve, sensitivity, specificity, and the Hosmer-Lemeshow test. The nomogram had a survival prediction accuracy of 0.878 and 0.875, a specificity of 0.875 and 0.583, and a sensitivity of 0.704 and 0.833, respectively, in the training and test set. The ROC
Aimer
Commentaire
Partagez
