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Author

Heng-Feng Shi

2 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 Jul 2026

A radiomics-based machine learning model for the preoperative differentiation of lung adenocarcinoma subtypes

The radiomics model developed in this study facilitates the accurate and interpretable preoperative classification of lung adenocarcinoma subtypes and enhances diagnostic performance and supports clinical decision-making.

Feng-Juan Tian, Jing Ding, Zhen-Yu Cao et al. · 0 citations

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