Update README.md

Author: anna-grim

README.md

@@ -15,9 +15,9 @@ Python package that evaluates the topological accuracy of a predicted neuron seg
 The pipeline for computing skeleton metrics consists of three main steps:
 
 <blockquote>
-  <p>a. <strong>Label Graphs</strong>: Nodes in ground truth graphs are labeled with segmentation IDs.</p>
-  <p>b. <strong>Error Detection</strong>: Compare labels of neighboring nodes to detect mistakes.</p>
-  <p>c. <strong>Compute Metrics</strong>: Update graph structure by removing omit nodes and compute graph-based metrics.</p>
+  <p>1. <strong>Label Graphs</strong>: Nodes in ground truth graphs are labeled with segmentation IDs.</p>
+  <p>2. <strong>Error Detection</strong>: Compare labels of neighboring nodes to detect mistakes.</p>
+  <p>3. <strong>Compute Metrics</strong>: Update graph structure by removing omit nodes and compute graph-based metrics.</p>
 </blockquote>
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