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Author:
Puyang Wang
Summary:
Self-describing HDF5 container for one medical imaging sample and all of its ground truth: multi-timepoint, multi-modal images with segmentation, detection, classification and registration annotations, provenance and integrity.
Latest version:
2.1.0
Required dependencies:
numpy
Optional dependencies:
h5py
|
hdf5plugin
|
highdicom
|
hypothesis
|
markdown-it-py
|
maturin
|
monai
|
mypy
|
nibabel
|
pyarrow
|
pydicom
|
pytest
|
pytest-cov
|
ruff
|
torch
|
twine
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