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20232026
most citedA review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods

2 citations · 5 across the 15 of their papers we have counts for

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cs.CV2026

Semantic-Anchored Evidential Fusion for Domain-Robust Whole-Slide Survival Analysis

Yucheng Xing, Ling Huang, Pei Liu +5

Whole-slide images (WSIs) are widely used for computational cancer prognosis. However, most existing methods primarily focus on in-domain performance and fail to generalize across…

cs.CV2023★ 2 cited

Medical Image Segmentation with Belief Function Theory and Deep Learning

Ling Huang

Deep learning has shown promising contributions in medical image segmentation with powerful learning and feature representation abilities. However, it has limitations for reasoning…