A loss function merging categorical cross-entropy with fuzzy entropy yields better segmentation metrics than standard cross-entropy on IBSR and OASIS brain MRI datasets using U-Net and U-Net++.
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An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation
A loss function merging categorical cross-entropy with fuzzy entropy yields better segmentation metrics than standard cross-entropy on IBSR and OASIS brain MRI datasets using U-Net and U-Net++.