Feature_visualization_neuroimages

Feature visualization of 2D and 3D MRI brain scans (Early stopping class used from repository Bjarten/early-stopping-pytorch !)

2D_transfarmations_visualization - an example of how 2D images were generate using learned weights from 5-layer CNN model and the effects of different transformations on generated images
SBF_filter - Switching bilateral filter coded based on the paper by Lin, Chih Hsing et al., 2010 (DOI: 10.1109/TIP.2010.2047906), as a noise detection and removal method instead of total variation denoising and gaussian blurring
Transformation_2D_3D.py contains transformation functions, both for a separate use with 2D images and functions that can be added to the torchvision.transforms.Compose (for both 2D and 3D images)

Name		Name	Last commit message	Last commit date
Latest commit History 17 Commits
2D_transformations-visualization.ipynb		2D_transformations-visualization.ipynb
Gaussian-Learning.py		Gaussian-Learning.py
README.md		README.md
SBF_filter.py		SBF_filter.py
Square-Learning.py		Square-Learning.py
Transformations_2D_3D.py		Transformations_2D_3D.py

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