--- a/README.md
+++ b/README.md
@@ -1,51 +1,51 @@
-# Lung-Lobes-Segmentation-in-CT-Scans
-
-Python and C++ implementation on vessel and fissure segmentation in Lung CT Scans based on [Bianca's work](https://pdfs.semanticscholar.org/ddd9/8a73eab745841ba41a13633be76ab1f9c8b0.pdf)
-
-## Usage
-**For lung and pulmonary vessel segmentation**. 
-
-I create a ipython notebook for this part (in lung_segmentation.ipynb except the last two parts).
-
-**For pulmonary fissure segmentation**. 
-
-Compile the two C++ files for fissure segmentation.
-1. cmake .
-2. make
-3. 
-	Use vector-based region growing for fissure segmention. 
-	```Python
-	./vector_region_growing ORIGINAL_CT.mhd FISSURE_EXTRACT.mhd
-	```
-	Use intensity-based region growing for removing small regions.
-	```Python
-	./region_growing FISSURE_EXTRACT.mhd FISSURE_EXTRACT_REFINED.mhd
-	```
-4. Running the last two sections in the ipython notebook to generate fissure mask and final lung-vessel-fissure mask. 
-
-## Results
-The result of lung segmentation:  
-
-![ ](images/lung.png)
-----
-
-The result of vessel segmentaton:  
-
-![ ](images/vessel.png)
-
-And in 3D view:  
-
-![ ](images/vessel3d.png)
-----
-
-The result of fissure segmentation:   
-(From left to right: original, after vector-based region growing, after intensity-based region growing)
-
-![ ](images/fissure.png)
-
-The 3D maps of Lung-Vessel-Fissure for 9 cases:  
-
-![ ](images/maps.png)
-
-## Dataset
+# Lung-Lobes-Segmentation-in-CT-Scans
+
+Python and C++ implementation on vessel and fissure segmentation in Lung CT Scans based on [Bianca's work](https://pdfs.semanticscholar.org/ddd9/8a73eab745841ba41a13633be76ab1f9c8b0.pdf)
+
+## Usage
+**For lung and pulmonary vessel segmentation**. 
+
+I create a ipython notebook for this part (in lung_segmentation.ipynb except the last two parts).
+
+**For pulmonary fissure segmentation**. 
+
+Compile the two C++ files for fissure segmentation.
+1. cmake .
+2. make
+3. 
+	Use vector-based region growing for fissure segmention. 
+	```Python
+	./vector_region_growing ORIGINAL_CT.mhd FISSURE_EXTRACT.mhd
+	```
+	Use intensity-based region growing for removing small regions.
+	```Python
+	./region_growing FISSURE_EXTRACT.mhd FISSURE_EXTRACT_REFINED.mhd
+	```
+4. Running the last two sections in the ipython notebook to generate fissure mask and final lung-vessel-fissure mask. 
+
+## Results
+The result of lung segmentation:  
+
+![ ](https://github.com/Connor323/Lung-Lobes-Segmentation-in-CT-Scans/blob/master/images/lung.png?raw=true)
+----
+
+The result of vessel segmentaton:  
+
+![ ](https://github.com/Connor323/Lung-Lobes-Segmentation-in-CT-Scans/blob/master/images/vessel.png?raw=true)
+
+And in 3D view:  
+
+![ ](https://github.com/Connor323/Lung-Lobes-Segmentation-in-CT-Scans/blob/master/images/vessel3d.png?raw=true)
+----
+
+The result of fissure segmentation:   
+(From left to right: original, after vector-based region growing, after intensity-based region growing)
+
+![ ](https://github.com/Connor323/Lung-Lobes-Segmentation-in-CT-Scans/blob/master/images/fissure.png?raw=true)
+
+The 3D maps of Lung-Vessel-Fissure for 9 cases:  
+
+![ ](https://github.com/Connor323/Lung-Lobes-Segmentation-in-CT-Scans/blob/master/images/maps.png?raw=true)
+
+## Dataset
 The dataset I used is [LOLA11](https://lola11.grand-challenge.org), which contains 55 CT Scans. 
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