Adding a hierarchical dual-attention and graph-based prior-reasoning module to existing 3D segmentation models improves liver lesion detection and diagnosis on non-contrast CT by 4 to 6 F1 points.
Per-pixel classification is not all you need for semantic segmentation
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PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans
Adding a hierarchical dual-attention and graph-based prior-reasoning module to existing 3D segmentation models improves liver lesion detection and diagnosis on non-contrast CT by 4 to 6 F1 points.