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Medical Image Segmentation Evaluation

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

graphic-abstract

3d

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.

Metadata

Release files for evalseg 2.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for evalseg 2.7
File Size Uploaded Provenance Actions
evalseg-2.7.tar.gz 52.2 kB Without provenance Details for evalseg-2.7.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for evalseg 2.7
File Interpreter ABI Platform Actions
evalseg-2.7-py3-none-any.whl Python 3 none any Details for evalseg-2.7-py3-none-any.whl

Total release size: 120.6 kB

Release files / evalseg-2.7.tar.gz

Download URL evalseg-2.7.tar.gz
Size 52.2 kB
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41f35de224b381b78d459e7bbfed1c6ab00625f9119198048a261543093819d2
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10a812a23ddfff240b2dc846579431bbe9832d494bfd3ce63ad63a5d986694a8
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No
Uploaded via twine/4.0.2 CPython/3.11.1

Release files / evalseg-2.7-py3-none-any.whl

Download URL evalseg-2.7-py3-none-any.whl
Size 68.4 kB
Tags Python 3
SHA-256 checksum
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f5788fe33cbc74108f8fa82b626e20e34986230ad605dd08cc52e59b68be0c08
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69a420887734f4b17714d9fa7a82c73f87f288cf2f8c3fafaa310830950c5ad5
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Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.1

Security for evalseg 2.7

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