Fig. 1
From: Prediction of malignant esophageal fistula in esophageal cancer using a radiomics-clinical nomogram
Flowchart of developing a radiomic signature. Following ROI segmentation, 851 radiomic features were extracted from each ROI. The Lasso algorithm selected ten features that had the best correlation with the occurrence of esophageal fistula and a radiomic signature were created. The box chart revealed that there was no significant difference between the training and validation sets, but there was a difference between patients with and without fistula