PyALFE
Python implementation of Automated Lesion and Feature Extraction (pyALFE) pipeline. We developed this pipeline for analysis of brain MRIs of patients suffering from conditions that cause brain lesions. It utilizes image processing tools, image registration tools, and deep learning segmentation models to produce a set of features that describe the lesions in the brain.
Documentation
Details about installation and usage can be found at: https://reghbali.github.io/pyalfe
To get started, you can go through this tutorial: https://reghbali.github.io/pyalfe/guides/tutorial.html
Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
License
BSD 3-Clause
1 maintainer
Metadata
1 maintainer
Release files for pyalfe 0.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| pyalfe-0.1.1.tar.gz | 16.4 MB | Without provenance | Details for pyalfe-0.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| pyalfe-0.1.1-py3-none-any.whl | Python 3 | none | any | Details for pyalfe-0.1.1-py3-none-any.whl |
Total release size: 32.8 MB
Release files / pyalfe-0.1.1.tar.gz
| Download URL | pyalfe-0.1.1.tar.gz |
|---|---|
| Size | 16.4 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fa690ea917cef1d4812414ddb3b4fd7af94f558da64583843affeb5884bdcdef
|
|
BLAKE2b-256 checksum How to use checksums |
b1bfc51d877af7ed0157d388d4a87bfb5e55c786d9a701ab37f921ea0a96fc9b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Release files / pyalfe-0.1.1-py3-none-any.whl
| Download URL | pyalfe-0.1.1-py3-none-any.whl |
|---|---|
| Size | 16.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
d8e4903054db4cecdc596ce0ce6d9b95286b6f07ba6e4931cc00944a334454ee
|
|
BLAKE2b-256 checksum How to use checksums |
4400ec297b43edc0c375c3310293a0191e53a85e0e8e19ab7e9f7fb643c49175
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.6
|
Security for pyalfe 0.1.1
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
