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Ying Liu

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Open access Aug 2026

Predictive value of 18F-FDG PET/CT PyRadiomics features using a tabular deep learning model for cancer-related cognitive impairment in patients with DLBCL without CNS involvement

Tabular deep learning models based on handcrafted PET/CT PyRadiomics features showed preliminary potential for predicting CRCI in patients with non-CNS DLBCL, and a left occipital CT texture feature emerged as the highest-ranked model contributor in SHAP analysis.

Jing Wang, Yiyuan Dong, Ning Xu et al. · 0 citations

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