BrainLes-Preprocessing
BrainLes preprocessing is a comprehensive tool for preprocessing tasks in biomedical imaging, with a focus on (but not limited to) multi-modal brain MRI. It can be used to build to build modular preprocessing pipelines:
This includes normalization, co-registration, atlas registration and skulstripping / brain extraction.
BrainLes is written backend-agnostic meaning it allows to swap the registration and brain extration tools.
Installation
With a Python 3.10+ environment you can install directly from pypi.org:
pip install brainles-preprocessing
Usage
A minimal example can be found following these badges:
For further information please have a look at our Jupyter Notebook tutorials illustrating the usage of BrainLes preprocessing.
Documentation
We provide a (WIP) documentation. Have a look here
FAQ
Please credit the authors by citing their work.
Atlas Reference
We provide the SRI-24 atlas from this publication. However, custom atlases can be supplied.
Brain extraction
We currently provide support for HD-BET.
Registration
We currently provide support for ANTs (default), Niftyreg (Linux), eReg (experimental)
1 maintainer
Metadata
1 maintainer
Release files for brainles-preprocessing 0.1.6
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| brainles_preprocessing-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Release files / brainles_preprocessing-0.1.6-py3-none-any.whl
| Download URL | brainles_preprocessing-0.1.6-py3-none-any.whl |
|---|---|
| Size | 19.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a77ab0c5b8baf1e55b26da9cd4e7ec870b1e44fe1fc385a124001b21f358d278
|
|
BLAKE2b-256 checksum How to use checksums |
ac6c867ec0d1e31101ac4eeb4de4ada39bec52b5da320e8cc93733434faeeca9
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Security for brainles-preprocessing 0.1.6
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
