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Xing-Hong Huang

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Sep 2026

Diagnostic performance of radiomic features from FS-T2WI for parotid tumor classification: A comparison of deep learning and machine learning models.

The FS-T2WI radiomics can reliably and non-invasively distinguish between benign and malignant parotid tumors, while the TabResNet framework offers a practical reference for building high-performance radiomics models in clinical practice.

Xu-Ran Mao, Yan-Ting Li, Wei Zhang et al. · 0 citations

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