In the external validation cohort, the DLRN showed significant improvements over clinical ( p < 0.001), radiomic ( p = 0.049), and deep learning ( p = 0.025) models, while the comparison with the DLR model approached but did not reach statistical significance ( p = 0.192).
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Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.
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