Skip to main content

No project description provided

Project description

Stroke Segmentor

Python Versions Stable Version Documentation Status tests License

State-of-the-art ischemic stroke lesion segmentation in MRI

Installation

With a Python 3.8+ environment, you can install stroke_segmentor directly from PyPI:

pip install stroke_segmentor

Use Cases and Tutorials

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

from stroke_segmentor.inferer import Inferer

inferer = Inferer()
pred = inferer.infer(
    dwi_path="path/to/dwi.nii.gz",
    adc_path="path/to/adc.nii.gz",
    segmentation_path="seg.nii.gz", # optional. the numpy array is always returned for direct usage
)

Citation

[!IMPORTANT] stroke_segmentor is part of the BrainLesion suite.
Please cite it support the development!
https://github.com/BrainLesion#-citing-brainlesion-suite

This project is based on DeepISLES and offers its NVAUTO algorithm. Please cite the original manuscript.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

stroke_segmentor-0.0.2.tar.gz (6.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

stroke_segmentor-0.0.2-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file stroke_segmentor-0.0.2.tar.gz.

File metadata

  • Download URL: stroke_segmentor-0.0.2.tar.gz
  • Upload date:
  • Size: 6.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for stroke_segmentor-0.0.2.tar.gz
Algorithm Hash digest
SHA256 e0fc5cd65015a8a3298ee74d625590cd7a5dcac9c4706ed6570d82fce8faaf14
MD5 6835923b5f2be4f7bc42a34a746b60b3
BLAKE2b-256 86cab636fb9eb7cd6c94c410431581af0cddc47ab337b3c17b0af47c0e3cfb1b

See more details on using hashes here.

File details

Details for the file stroke_segmentor-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for stroke_segmentor-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 eaa5eff7cbd0605a68f58223a8ab6057c6ff69f48ebbeac7030a0ac196818282
MD5 79528772cdfff2c7e4187c67671279b2
BLAKE2b-256 597c173f60b2df13b8e5ab58aaf9ad7b1a958bceba78f48163e0bfa2993b3f4d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page