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University of Applied Sciences Koblenz
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Stable product-unit interactions in PU-UNet lead to a remarkable reduction in false-positive rates and significant improvements in segmentation accuracy without increasing computational costs.
Forget predefined function libraries: this method learns dynamical system equations directly from data, even capturing fractional exponents.