Interpretable machine learning model using dual-energy CT for predicting adverse histopathological status in gastric cancer: A multicenter study
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Objectives: To investigate whether the integration of multiple dual-energy CT (DECT) quantitative parameters using machine learning algorithms could non-invasively decode the adverse histopathological status in gastric cancer (GC... ...
