petu 0.0.5

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PeTu

Description

Features

Installation

With a Python 3.10+ environment, you can install petu directly from PyPI:

pip install petu

Use Cases and Tutorials

A minimal example to create a segmentation could look like this:

from petu import Inferer

inferer = Inferer()

# Save NIfTI files
inferer.infer(
    t1c="path/to/t1c.nii.gz",
    fla="path/to/fla.nii.gz",
    t1="path/to/t1.nii.gz",
    t2="path/to/t2.nii.gz",
    ET_segmentation_file="example/ET.nii.gz",
    CC_segmentation_file="example/CC.nii.gz",
    T2H_segmentation_file="example/T2H.nii.gz",
)

# Or directly use pre-loaded NumPy data. (Both outputs work as well)
et, cc, t2h = inferer.infer(
    t1c=t1c_np,
    fla=fla_np,
    t1=t1_np,
    t2=t2_np,
)

[!NOTE]
If you're interested in the PeTu package, the Pediatric Segmentation may also be of interest.

Citation

If you use petu in your research, please cite it to support the development!

TODO: citation will be added asap

Contributing

We welcome all kinds of contributions from the community!

Reporting Bugs, Feature Requests and Questions

Please open a new issue here.

Code contributions

Nice to have you on board! Please have a look at our CONTRIBUTING.md file.