Update README.md

Author: anna-grim

README.md

@@ -9,7 +9,7 @@
 
 ## Overview
 
-GraphTrace is a Python library that leverages machine learning to automatically correct splits in fragmented neuron segmentations from whole-brain images. A demo Jupyter notebook is provided to showcase the process: it loads fragmented neuron segments from a predicted segmentation and corrects them using GraphTrace. You can also use the provided code to train a deep learning model and evaluate it against ground truth data.
+GraphTrace is a Python library that leverages machine learning to automatically correct splits in fragmented neuron segmentations from whole-brain images.
 
 <p>
   <img src="imgs/result.png" width="900" alt="">
@@ -19,7 +19,7 @@ GraphTrace is a Python library that leverages machine learning to automatically
 
 Briefly describe inference pipeline, to do...
 
-- Graph Construction: Reads neuron fragments stored as swc files and loads them into a Networkx graph
+- Graph Construction: Reads neuron fragments stored as swc files and loads them into a Networkx graph.
 - Proposals: Generates potential connections between nearby fragments to correct false splits in the segmentation
 - Feature Generation: Extracts geometric and image-based features from the graph to be utilized by a machine learning model that classifies the proposals.
 - Graph Neural Network (GNN) Inference: Predicts whether to accept or reject proposals based on the generated features and graphical structure.
@@ -33,6 +33,16 @@ Briefly describe inference pipeline, to do...
 
 ## Inference
 
+### Step 1: Graph Construction
+
+To do...
+
+### Step 2: Proposal Generation
+
+To do...
+
+### Step 3: Proposal Classification
+
 To do...
 
 ## Installation