UGPL uses evidential uncertainty maps to select CT image patches for focused re-analysis and reports gains over baselines on kidney, lung, and COVID classification.
Weight uncertainty in neural networks,
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UGPL: Uncertainty-Guided Progressive Learning for Evidence-Based Classification in Computed Tomography
UGPL uses evidential uncertainty maps to select CT image patches for focused re-analysis and reports gains over baselines on kidney, lung, and COVID classification.