Fig. 1
From: Radiomic analysis for predicting prognosis of colorectal cancer from preoperative 18F-FDG PET/CT

Radiomics workflow. Input PET/CT was collected from patients with colorectal cancer (Stage I–IV). Feature engineering was used to extract radiomics features from region of interests in PET/CT images and to select important features via log-rank test and variable hunting. Two random survival forest (RSF) models M1 and M2 were constructed followed by statistical analysis including survival prediction, correlation analysis and individualized interpretation