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. 2020 Jan 7;2020:7163453. doi: 10.1155/2020/7163453

Figure 1.

Figure 1

Radiomics analysis pipeline.Radiomics analysis pipeline for all included patients, showing (a) acquisition of the T1-SE image, followed by (b) soft-tissue lesion segmentation using Slicer 3D and (c) radiomics features extraction using Pyradiomics. (d) Radiomics features were finally used to train and assess the performance of a machine-learning classifier to distinguish liposarcoma and lipoma.