Skip to main content

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

Downloads Version Dependencies

Summary

mednoise is the fundamental package needed for medical image (pre)processing with Python.

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mednoise-1.2.4.tar.gz (21.2 kB view hashes)

Uploaded Source

Built Distribution

mednoise-1.2.4-py3-none-any.whl (29.1 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page