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GRC-ProbNet: Uncertainty-aware Feature Extraction for Cardiovascular Disease Classification

GRC-ProbNet introduces uncertainty-aware feature extraction to improve the classification of cardiovascular disease from CT images by accounting for segmentation mask variability.

Impact
36/100
Current rank score
2.05
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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