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Sponsored Artificial Intelligence: A Modern Approach, Global Edition Artificial Intelligence: A Modern Approach, Global Edition

Author

Zongyu Xie

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3 papers indexed here

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Open access Sep 2026

Multiphasic enhanced CT-based radiomics signature for differentiating adrenal metastases from lipid-poor adrenal adenomas

To investigate the diagnostic value of machine learning models based on CT radiomics in differentiating adrenal metastases (AMs) from lipid-poor adenomas (LPAs). A total of 212 patients with AMs and 213 patients with LPAs were retrospectively analyzed based on CT images from the First Affiliated Hospital o...

F. Zhu, Hui Wang, Heng-Feng Shi et al. · 0 citations
Open access Sep 2026

An interpretable machine learning framework using multi-phase computed tomography for differentiation of adrenal lipid-poor adenomas and pheochromocytomas

The DT model strikes an optimal balance between high diagnostic accuracy and inherent interpretability, offering a practical tool that may enhance clinical confidence when managing indeterminate adrenal lesions.

Pan-Liang Zhao, F. Zhu, C. Yan et al. · 0 citations
Jul 2026

Topological imaging of single-cell CAF heterogeneity for predicting prognosis and adjuvant chemotherapy benefit in pancreatic cancer.

PURPOSE Cancer-associated fibroblasts (CAFs) are central drivers of PDAC progression and therapeutic resistance, yet their preoperative clinical utility remains unexplored. We aimed to translate single-cell CAF heterogeneity into a CT-based framework for preoperative risk stratification and adjuvant chemotherapy strati...

Lingling Wang, Zongyu Xie, Qiying Tang et al. · 0 citations

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