Update README.md

Author: anna-grim

README.md

@@ -26,14 +26,14 @@ The pipeline for computing skeleton metrics consists of three main steps:
 
 ### Step 1: Label Graphs
 
-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.
+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 segmentation.
 
 Note: Misalignments between the ground truth graphs and prediction segmentation are detected and corrected.
 
 <p align="center">
   <img src="imgs/misalignment-example.png" width="400" alt="misalignment-example">
   <br>
-  <b>Figure:</b> Node 3 is an example of a misalignment between a ground truth graph and predicted segmentation.
+  <b>Figure:</b> Node 3 is an example of a misalignment between a ground truth graph and segmentation.
 </p>