Fig. 5 | Scientific Reports

Fig. 5

From: Performance of MRI-based radiomics for prediction of residual disease status in patients with nasopharyngeal carcinoma after radical radiotherapy

Fig. 5

The workflow of this study. (A) Collection of multiparametric MRI images and clinical data. (B) Tumor segmentation on the images. (C) Generation of subregion label maps using Bayesian Gaussian Mixture Model and K-means clustering algorithms. (D) Extraction of conventional radiomic features and habitat radiomic features. (E) Selection of residue-related features using a series of feature selection strategies. (F) Construction of models and comparison between different models. (G) The validation of the models.

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