modaresimr / evalseg

Medical Image Segmentation Evaluation

Medical Image Segmentation Evaluation

This project is intended to evaluate Medical Segmentation approaches from multiple prespective.

Please cite us if you use our codes or ideas ;)

@misc{modaresi2022mis,
  doi = {10.34740/KAGGLE/DSV/4728423},
  url = {https://www.kaggle.com/dsv/4728423},
  author = {{Seyed Modaresi} and {Aomar Osmani} and {Mohammadreza Razzazi} and {Abdelghani Chibani}},
  title = {Medical Image Segmentation: Evaluation},
  publisher = {Kaggle},
  year = {2022}
}

What is included on this repository?

• 📃 Documentation
• 🐋 A simple Containerfile to build a container image for your project.
  Containerfile is a more open standard for building container images than Dockerfile, you can use buildah or docker with this file.
• 🧪 Testing structure using pytest
• ✅ Code linting using flake8
• 📊 Code coverage reports using codecov
• 🛳️ Automatic release to PyPI using twine and github actions.
• 🎯 Entry points to execute your program using python -m <evalseg> or $ evalseg with basic CLI argument parsing.
• 🔄 Continuous integration using Github Actions with jobs to lint, test and release your project on Linux, Mac and Windows environments.

---

evalseg

Install it from PyPI

pip install evalseg

pip install git+https://github.com/modaresimr/evalseg

Usage

comming soon

$ python -m evalseg
#or
$ evalseg

Development

Read the CONTRIBUTING.md file.