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README.md

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@@ -26,8 +26,7 @@ The pipeline for computing skeleton metrics consists of three main steps:
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### Step 1: Label Graphs
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We begin with a set of ground truth skeletons stored as individual SWC files, where the "xyz" coordinates correspond to voxels in an image. Each ground truth skeleton is loaded and represented as a NetworkX graph with the voxel coordinates as a node-level attribute. The evaluation is performed by first labeling the nodes of each graph with the corresponding segment IDs from the predicted segmentation.
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We start with a set of ground truth skeletons stored as individual SWC files, where the "xyz" attribute represents voxel coordinates in an image. Each ground truth skeleton is loaded and represented as a NetworkX graph with the voxel coordinates as a node-level attribute. The first step is to label the nodes of each graph with the corresponding segment IDs from the predicted segmentation.
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### Step 2: Error Detection
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