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Achieve near-perfect error detection in medical image segmentation with a single forward pass by modeling uncertainty as perturbation energy.
Stop wrestling with rigid medical image processing pipelines: MIP Candy lets you swap out convolution, normalization, and activation modules at runtime without subclassing.