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Uncertainty-Aware Super-Resolution for Mammography Phantoms using a Dropout-Enabled SwinIR

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This study was aimed at presenting a framework integrating uncertainty quantification into the SwinIR super-resolution model for mammography, addressing the "black box" limitation that hinders clinical trust. Monte Carlo (MC) Dropout was incorporated into Sw... ...