A neural networks toolbox with a focus on medical image analysis in tensorflow/keras for now.
To use the Neurite library, either clone this repository and install the requirements listed in setup.py
or install directly with pip.
pip install neurite
SpatiallySparse_Dense
), and LocallyConnected3D
currently not included in keras
interpn
: N-D gridded interpolation, and several nonlinearities
keras
training to help with understanding your fit, such as Dice measurements and volume-segmentation overlaps If you use this code, please cite:
Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
Adrian V. Dalca, John Guttag, Mert R. Sabuncu
CVPR 2018.
[ PDF | arxiv | bibtex ]
If you are using any of the sparse/imputation functions, please cite:
Unsupervised Data Imputation via Variational Inference of Deep Subspaces
Adrian V. Dalca, John Guttag, Mert R. Sabuncu
Arxiv preprint 2019
[ arxiv | bibtex ]
We welcome contributions; please make sure your code respects pep8
, except for E731,W291,W503,W504
, by running:
pycodestyle --ignore E731,W291,W503,W504 --max-line-length 100 /path/to/neurite
Please open an issue [preferred] or contact Adrian Dalca at adalca@csail.mit.edu for question related to neurite
.
Parts of neurite
were used in VoxelMorph and brainstorm, which we encourage you to check out!