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Published in 2025 at "Quantitative Imaging in Medicine and Surgery"
DOI: 10.21037/qims-2025-1132
Abstract: Background Radiomics-based machine learning (ML) models can potentially distinguish between benign and malignant renal tumors on computed tomography (CT). Traditional algorithms necessitate intensive hyperparameter tuning and large datasets for optimization. This study assessed the novel…
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Keywords:
prior data;
fitted network;
malignant renal;
data fitted ... See more keywords