mednoise is a python package that contains algorithms to handle and edit large amounts of image-based metadata to remove irrelevant noise and enhance the accuracy of machine learning and deep learning models for scientific research.
Project description
mednoise
Summary
mednoise is the fundamental package needed for medical image (pre)processing with Python.
- Website: https://mednoise.github.io
- PyPI: https://pypi.org/project/mednoise/
- Documentation: https://mednoise.github.io/documentation
- Source code: https://github.com/mednoise/mednoise
- Bug reports: https://github.com/mednoise/mednoise/issues
It contains:
- various algorithms to handle and pre-process large amounts of medical image metadata
- a highly tuneable interface for a variety of usecases
- an inference-compatible structure that allows for easy integration into workflow/pipeline management systems (ex. airflow, luigi, snakemake)
Installation:
mednoise uses pip
. The installation can be run with:
pip install mednoise
License
mednoise is licensed under the Apache 2.0 License
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