An approach for cancer outcomes modelling using a comprehensive synthetic dataset
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Limited patient data availability presents a challenge for efficient machine learning (ML) model development. Recent studies have proposed methods to generate synthetic medical images but lack the corresponding prognostic information required for predicting ou... ...