fastMONAI 0.1.0

fastMONAI library

Overview

Note: 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}
}