On 118 held-out clinical images, the proposed uncertainty-aware, frequency-gated ensemble reaches 85.05% Dice and 29.95 px HD95, besting ResNet/UNet++ and MiT-B2/B5 baselines.
WA - NET : enhanced boundary-aware segmentation of skin lesions via frequency-spatial feature fusion and attention-guided edge refinement
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Uncertainty-Aware Domain Adaptation for Vitiligo Segmentation in Clinical Photographs
On 118 held-out clinical images, the proposed uncertainty-aware, frequency-gated ensemble reaches 85.05% Dice and 29.95 px HD95, besting ResNet/UNet++ and MiT-B2/B5 baselines.