Establishment and validation of a CT-based clinical deep learning radiomics nomogram for predicting the response to transcatheter arterial chemoembolization in patients with hepatocellular carcinoma.

Front Oncol · 2026 · PMC13147201 · PMID 42100434

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an increasing trendno p-value reported

Figure 2A shows that the wavelet_HHL_glcm_Correlation feature is the most significant for distinguishing TR from nTR, with an increasing trend in model output corresponding to higher feature values.

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