Update README.md

README.md

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 A contrastive learning based semi-supervised segmentation network for medical image segmentation
 This repository contains the implementation of a novel contrastive learning based semi-segmentation networks to segment the surgical tools.
 <div align=center><img src="https://github.com/AngeLouCN/Min_Max_Similarity/blob/main/img/mms.jpg" width="1000" height="450" alt="Result"/></div>
-<p align="center"><b>Fig. 1. Fig. 1. The architecture of Min-Max Similarity.</b></p>
+<p align="center"><b>Fig. 1. The architecture of Min-Max Similarity.</b></p>
 
 ## Environment
 
@@ -63,3 +63,4 @@ You can change the dataset name in ```test.py``` and run the code.
 
 ## Segmentation Performance
 <div align=center><img src="https://github.com/AngeLouCN/Min_Max_Similarity/blob/main/img/result_vis.jpg" width="650" height="550" alt="Result"/></div>
+<p align="center"><b>Fig. 2. Visual segmentation results.</b></p>