https://www.selleckchem.com/pr....oducts/fenretinide.h
001 for both training and validation sets). A nomogram including the radiomics signature and tumor location as predictors was developed. The model showed both good calibration and good discrimination, in which C-index in the training set, 0.752 [95% confidence interval (95% CI) 0.701-0.803]; C-index in the validation set, 0.793 (95% CI 0.711-0.874). This study developed a radiomics nomogram that incorporates tumor location and radiomics signatures, which can be useful in facilitating preoperative individualized prediction of histolo
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