DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
python
tracking
machine-learning
medical-imaging
registration
neuroimaging
segmentation
bundles
spherical-harmonics
microstructure
diffusion-mri
neuroanatomy
tractography
dti
denoising
self-supervised-learning
tractometry
dki
contextual-enhancement
patch2self
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Updated
Nov 8, 2024 - Python