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--- a/README.md
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@@ -1,51 +1,51 @@
-### Quick Links
-
-- [Development Branch](https://github.com/GalDude33/Fetal-MRI-Segmentation/tree/dev)
-
-- [Experiments Branch](https://github.com/GalDude33/Fetal-MRI-Segmentation/tree/adapt)
-
-- [Augmentations Notebook](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/adapt/notebooks/Check_Augmentations.ipynb)
-
-### Fetal Total-Body and Brain 3D Segmentation in MRI scans with limited datasets.
-
-- 3D and 2D segmentation.
-- Implemented Advanced Augmentation techniques.
-- Achieving results below Radiologist Inter & Intra Observer variability.
-- Option to Utilize previous-slice segmentation to improve performance on hard samples.
-
-### Training 
-
-* Install Tensorflow & Keras
-
-* Install dependencies: 
-pip install -r requirements.txt
-
-* To run training:
-Config currently in dict inside brats/train_fetal.py
-```
-$ python -m brats.train_fetal --config_dir <config_dir>
-```
-Where <config_dir> is the folder containing the training configurations (or will be creatad to)
-
-### Write prediction images from the validation data
-In the training above, part of the data was held out for validation purposes. 
-To write the predicted label maps to file:
-```
-$ python -m brats.predict --config_dir <config_dir>
-```
-The predictions will be written in the ```<config_dir>/prediction``` folder along with the input data and ground truth labels for comparison.
-
-### More Instructions and Explanations in the [Wiki](../../wiki)!
-
-### Cool Results
-
-##### 3D Model of the segmented fetal brain
-![3D Model of the segmented fetal brain](results/brain3.gif)
-##### 3D Model of the segmented fetal body
-![](results/fetal.gif)
-##### Segmentation of fetal brain
-![](results/brain_seg4.png)
-##### Segmentation of fetal brain (only border)
-![](results/brain_seg_border.png)
-##### Segmentation of fetal body
-![](results/fetal_seg1.png)
+### Quick Links
+
+- [Development Branch](https://github.com/GalDude33/Fetal-MRI-Segmentation/tree/dev)
+
+- [Experiments Branch](https://github.com/GalDude33/Fetal-MRI-Segmentation/tree/adapt)
+
+- [Augmentations Notebook](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/adapt/notebooks/Check_Augmentations.ipynb)
+
+### Fetal Total-Body and Brain 3D Segmentation in MRI scans with limited datasets.
+
+- 3D and 2D segmentation.
+- Implemented Advanced Augmentation techniques.
+- Achieving results below Radiologist Inter & Intra Observer variability.
+- Option to Utilize previous-slice segmentation to improve performance on hard samples.
+
+### Training 
+
+* Install Tensorflow & Keras
+
+* Install dependencies: 
+pip install -r requirements.txt
+
+* To run training:
+Config currently in dict inside brats/train_fetal.py
+```
+$ python -m brats.train_fetal --config_dir <config_dir>
+```
+Where <config_dir> is the folder containing the training configurations (or will be creatad to)
+
+### Write prediction images from the validation data
+In the training above, part of the data was held out for validation purposes. 
+To write the predicted label maps to file:
+```
+$ python -m brats.predict --config_dir <config_dir>
+```
+The predictions will be written in the ```<config_dir>/prediction``` folder along with the input data and ground truth labels for comparison.
+
+### More Instructions and Explanations in the [Wiki](../../wiki)!
+
+### Cool Results
+
+##### 3D Model of the segmented fetal brain
+![3D Model of the segmented fetal brain](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/master/results/brain3.gif?raw=true)
+##### 3D Model of the segmented fetal body
+![](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/master/results/fetal.gif?raw=true)
+##### Segmentation of fetal brain
+![](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/master/results/brain_seg4.png?raw=true)
+##### Segmentation of fetal brain (only border)
+![](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/master/results/brain_seg_border.png?raw=true)
+##### Segmentation of fetal body
+![](https://github.com/GalDude33/Fetal-MRI-Segmentation/blob/master/results/fetal_seg1.png?raw=true)