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Figure 7
Figure 7.The area under the curves (AUCs) shows that the morphology-based radiomics signature model (A) has better discrimination compared with the morphology-based radiomics features model (B) and morphology-based radiomics features model (C). Radiomics morphological feature selection used the LASSO binary logistic regression model (D).
Figure 7 — Morphology-based radiomics signature: a novel determinant to identify multiple intracranial aneurysms rupture | Aging