Fig. 2From: Risk stratification and prognostic value of multi-modal MRI-based radiomics for extranodal nasal-type NK/T-cell lymphomaWorkflow of necessary steps in the radiomics signature analysis. The ROI in each transverse section was segmented on T1-weighted, T2-weighted, diffusion-weighted and dynamic contrast-enhanced magnetic resonance images. After three-dimensional reconstruction of the ROI, features were extracted, and selected via t-test. Based on the selected features, a radiomics signature was developed using the spectral clustering method. The performance of the radiomics signature was evaluated with discrimination and calibration. ROI, region of interest; HOG, histogram of oriented gradientBack to article page