FastMF is a python package for microstructural property characterization using deep learning based on diffusion MRI data.
Project description
FastMF_public

FastMF is a Python library designed to perform dictionary matching on diffusion MRI data to a precomputed dictionary of microstructural features, leveraging deep learning for enhanced accuracy and efficiency.
Installation
Prerequisites
FastMF requires Python v3.8+.
Installation Steps
To get started with FastMF, follow these simple steps to clone the repository and set up the necessary environment:
git clone https://github.com/Hyedryn/FastMF_public.git
cd FastMF_public
python -m pip install .
Usage
To familiarize yourself with its functionality, we recommend exploring the various examples provided in the ``examples`` folder.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file fastmf-0.1.0.tar.gz.
File metadata
- Download URL: fastmf-0.1.0.tar.gz
- Upload date:
- Size: 73.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a8c6e786810ca1061b1eb046a7f282b2d4794acb46255a974a5a0d37b6b53721
|
|
| MD5 |
bd6c097a78ba9d9bd847f8593a51a072
|
|
| BLAKE2b-256 |
47db1669629bfe0f7db6eca9d7a1526fd26e2b62749faead204fbcb00e455667
|
File details
Details for the file fastmf-0.1.0-py3-none-any.whl.
File metadata
- Download URL: fastmf-0.1.0-py3-none-any.whl
- Upload date:
- Size: 86.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.18
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fe24032b16f511333cb81176d8a4f0e1700a6033bdedc96ca0c569ccf98827f6
|
|
| MD5 |
23819470cd4dbda46c4fea6dd1edbb1c
|
|
| BLAKE2b-256 |
8264394c8c908b9180e4cc9e7b3d9931496d880505cdd21a6db2b9aa86efa79c
|