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A computed tomography-based deep learning model for non-invasively predicting World Health Organization (WHO)/International Society of Urological Pathology (ISUP) pathological grades of clear cell renal cell carcinoma (ccRCC): a multicenter cohort study
2025·0 Zitationen·Translational Andrology and UrologyOpen Access
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8
Autoren
2025
Jahr
Abstract
The DL model based on CT achieved satisfactory results in predicting the pathological grades of ccRCC.
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