MedGA | An evolutionary method for the enhancement of medical images

by andrea-tango Python Version: Current License: LGPL-3.0

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | MedGA Summary

MedGA is a Python library typically used in Healthcare, Pharma, Life Sciences applications. MedGA has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has low support. However MedGA build file is not available. You can download it from GitHub.

MedGA is a novel evolutionary method based on Genetic Algorithms for the enhancemnet of bimodal biomedical images. MedGA tackles the complexity of the enhancement problem by exploiting Genetic Algorithms (GAs) to improve the appearance and the visual quality of images characterized by a bimodal gray level intensity histogram, by strengthening their two underlying sub-distributions. This novel medical image enhancement technique is a promising solution suitable for medical expert systems.

Support

Quality

Security

License

Reuse

Support

MedGA has a low active ecosystem.

It has 4 star(s) with 6 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

MedGA has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MedGA is current.

Quality

MedGA has no bugs reported.

Security

MedGA has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

MedGA is licensed under the LGPL-3.0 License. This license is Weak Copyleft.

Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

Reuse

MedGA releases are not available. You will need to build from source code and install.

MedGA has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed MedGA and discovered the below as its top functions. This is intended to give you an instant insight into MedGA implemented functionality, and help decide if they suit your requirements.

Run the slave process
Evaluate the population
Calculates the optimal threshold
Start the game
Load image
Runs the DIETAG on the slave

Get all kandi verified functions for this library.

MedGA Key Features

No Key Features are available at this moment for MedGA.

MedGA Examples and Code Snippets

No Code Snippets are available at this moment for MedGA.

Community Discussions

No Community Discussions are available at this moment for MedGA.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MedGA

You can download it from GitHub.
You can use MedGA like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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