NoiseUNet injects bounded perturbations into U-Net skip connections to implicitly create soft fuzzy memberships for improved segmentation accuracy and boundary fidelity on ambiguous medical images such as thyroid ultrasound.
Semi- supervised semantic segmentation needs strong, varied perturbations,
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Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation
NoiseUNet injects bounded perturbations into U-Net skip connections to implicitly create soft fuzzy memberships for improved segmentation accuracy and boundary fidelity on ambiguous medical images such as thyroid ultrasound.