- SICAS Medical Image Repository(https://www.smir.ch/)
- MICCAI 2008 MS lesion Segmentation(https://www.nitrc.org/frs/?group_id=745)
- NITRC(https://www.nitrc.org/)
- IBSR: The Internet Brain Segmentation Repository (https://www.nitrc.org/projects/ibsr)
- Brain MRI segmentation(T1)
- Normal, Tumor Brain 둘 다 있음. 밸런스는 다름
- SimpleITK Notebooks(http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/)
- Nibabel(http://nipy.org/nibabel/gettingstarted.html)
- Scikit-image(http://scikit-image.org/)
- Deep Skull Skipping(https://github.com/GUR9000/Deep_MRI_brain_extraction)
- 3D Volume Visualization(https://www.datacamp.com/community/tutorials/matplotlib-3d-volumetric-data)
- LUNA16 dataset Visualization(https://www.kaggle.com/arnavkj95/candidate-generation-and-luna16-preprocessing)
- Scikit Image Examples(http://scikit-image.org/docs/dev/auto_examples/)
- 3D Brain Segmentation BrainNet(https://github.com/kaspermarstal/BrainNet)
- MS lesion segmentation using cascaded 3D convolutional neural networks (https://github.com/NIC-VICOROB/cnn-ms-lesion-segmentation)
- Image Segmentation with SimpleITK(https://pyscience.wordpress.com/2014/10/19/image-segmentation-with-python-and-simpleitk/)