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.
The diagnos- tic evaluation of convolutional neural network (cnn) for the assessment of chest x-ray of patients infected with covid-19
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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.