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Overall workflow and pipeline of the project. First, data preprocessing, including co-registration, skull-stripping, N4-bias field correction, and MRI standardization, were performed sequentially. Second, the lesion masks on T2w MR images were identified and annotated. Features were extracted using PyRadiomics, and features with high redundancy were removed using a statistical strategy. Finally, the top features were selected and used to construct CHAID models.
