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.
Faruk Abdullah Al Sohan, Rifat Al Mamun Rudro, and Shanaj Parvin
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
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.