3D-Brain-Tumor-Auto-Segmentation

In this project, I created a 3D Segmentation Model to identify Brain Tumor.
Brain MRIs are in 3D volumes so it is very difficult to pass the whole 3D volume at a time. To overcome this issue I divided 3d volumes into 3D subvolumes and selected only subvolumes that have at least 5% Tumor area.
To create a Tensor dataset in I created a notebook in which MRI images which are in .nii.gz forms are converted and pre-processed(sub-volumes and Standardization) and then saved for training.
Pre-trained Model

Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
1. Dataset_Visualization.ipynb		1. Dataset_Visualization.ipynb
2. Data_converstion.ipynb		2. Data_converstion.ipynb
3. Model_Creation_and_Training.ipynb		3. Model_Creation_and_Training.ipynb
LICENSE		LICENSE
README.md		README.md
TumorSegmentation.pt		TumorSegmentation.pt
utils.py		utils.py

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