Update README.md

Author: anna-grim

README.md

@@ -26,7 +26,9 @@ The pipeline for computing skeleton metrics consists of three main steps:
 
 ### Step 1: Label Graphs
 
-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.
+We start with a set of ground truth graphs stored as individual SWC files, where the "xyz" attribute represents voxel coordinates in an image. Each ground truth graph 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.
+
+Note: Misalignments between the ground truth graphs and prediction segmentation mask are detected and corrected.
 
 ### Step 2: Error Detection