Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout
Zeevi T, Staib L, Onofrey J. Enhancing Uncertainty Estimation in Semantic Segmentation via Monte-Carlo Frequency Dropout. 2025, 00: 1-5. DOI: 10.1109/isbi60581.2025.10980684.Peer-Reviewed Original ResearchSemantic segmentationDeterministic neural networksChest X-ray scansFeature mapsTraditional dropoutSegmentation taskMC dropoutNeural networkMedical imagesSignal spaceSemantic uncertaintyContrast-enhanced CTEnhance medical decision-makingBiparametric MRIPractical solutionProstate zonesFrequency domainLiver tumorsMonte-CarloX-ray scansUncertainty estimationBoundary delineationMC frequencyTextural variationsImaging modalities
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