Metadata-Version: 2.1
Name: fastMONAI
Version: 0.1.0
Summary: fastMONAI library
Home-page: https://github.com/MMIV-ML/fastMONAI
Author: Satheshkumar Kaliyugarasan
Author-email: skaliyugarasan@hotmail.com
License: Apache Software License 2.0
Keywords: deep learning,medical imaging
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: License :: OSI Approved :: Apache Software License
Requires-Python: >=3.9
Description-Content-Type: text/markdown
Provides-Extra: dev
License-File: LICENSE

Overview
================

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![](https://github.com/skaliy/skaliy.github.io/blob/master/assets/fastmonai_v1.png?raw=true)

<b>Note:</b> This documentation is also available as interactive
notebooks.

## Installing

### From PyPI

`pip install fastMONAI`

### From Github

If you want to install an editable version of fastMONAI run:

- `git clone https://github.com/skaliy/fastMONAI.git`
- `pip install -e '.[dev]'`

## How to use fastMONAI

The best way to get started using fastMONAI is to read the paper and
look at the step-by-step tutorial-like notebooks to learn how to train
your own models on different tasks (e.g., classification, regression,
segmentation). See the docs for more information.

## Citing fastMONAI

    @article{kaliyugarasan2022fastMONAI,
      title={fastMONAI: a low-code deep learning library for medical image analysis},
      author={Kaliyugarasan, Satheshkumar and Lundervold, Alexander Selvikv{\aa}g},
      year={2022}
    }
