Counterfactual Interventions
Cross-source consensus on Counterfactual Interventions from 1 sources and 5 claims.
1 sources · 5 claims
Uses
How it works
Benefits
Comparisons
Highlighted claims
- Tortuosity interventions preserved segment endpoints, keeping connectivity and chord length invariant. — A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
- The paired scoring protocol measured disease-probability differences between perturbed and baseline generated images from the same start. — A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
- The interventions targeted tortuosity, arc length, and radius because they were supported by observational rankings, anatomical literature, and dose-response testing needs. — A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
- Matched pixel-drop controls were used as a null comparison by deleting mask pixels and rerunning skeletonization and fitting. — A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis
- Across diabetic retinopathy, stroke, and Alzheimer’s disease, tortuosity interventions produced positive disease-probability shifts. — A General Bézier Tree Encoding Counterfactual Framework for Retinal-Vessel-Mediated Disease Analysis