Development and validation of a machine learning-based pathomics nomogram for prognostic prediction in endometrial cancer
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Introduction: Endometrial cancer (EC) is a common gynecologic malignancy with increasing incidence and notable molecular heterogeneity. This study aimed to develop a non-invasive, cost-effective prognostic model using pathomics f... ...
