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Advancing breast cancer relapse prediction with radiomics and neural networks: a clinically interpretable framework

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Early assessment of breast cancer relapse can significantly impact survival rates and overall oncological outcomes, highlighting the need to use sophisticated diagnostic strategies in clinical trials. This work utilizes clinically relevant radiomic features ex... ...