Torch framework for volumetric medical imaging structures
Project description
Voxel
Core utilities for volumetric (3D) medical image analysis, written in pytorch. Voxel provides methods for working with image grid data and triangular meshes, with consideration of their representation in a world (or scanner) coordinate system. The toolbox is fully GPU compatible and developed with particular emphasis on its use for deep-learning applications. More documentation to come soon!
Voxel can be installed with:
pip install voxel
If you find this package useful in your work, please cite the following publication (for which this package was originally developed).
VoxelPrompt: A Vision Agent for End-to-End Medical Image Analysis
Andrew Hoopes, Neel Dey, Victor Ion Butoi, John V. Guttag, Adrian V. Dalca
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