Neuroanatomy Python Packages

dipy

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.

navis

Python library for analysis of neuroanatomical data.

cellfinder

Automated 3D cell detection in very large images

brainreg

Automated 3D brain registration with support for multiple species and atlases.

brainreg-segment

Segmentation of anatomical structures in a common coordinate space

swcgeom

Neuron geometry library for swc format.

brainglobe-segmentation

Segmentation of anatomical structures in a common coordinate space

brainglobe-heatmap

Rendering anatomical heatmaps with brainrender and matplotlib

neuro

Visualisation and analysis of brain imaging data

quicknat-pytorch

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty