Pytorch--3D-Medical-Images-Segmentation--SALMON | Segmentation deep learning ALgorithm based on MONai toolbox

by davidiommi Python Version: Current License: MIT

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kandi X-RAY | Pytorch--3D-Medical-Images-Segmentation--SALMON Summary

Pytorch--3D-Medical-Images-Segmentation--SALMON is a Python library. Pytorch--3D-Medical-Images-Segmentation--SALMON has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Segmentation deep learning ALgorithm based on MONai toolbox: single and multi-label segmentation software developed by QIMP team-Vienna.

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Pytorch--3D-Medical-Images-Segmentation--SALMON has a low active ecosystem.

It has 89 star(s) with 25 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 6 have been closed. On average issues are closed in 23 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Pytorch--3D-Medical-Images-Segmentation--SALMON is current.

Quality

Pytorch--3D-Medical-Images-Segmentation--SALMON has no bugs reported.

Security

Pytorch--3D-Medical-Images-Segmentation--SALMON has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Pytorch--3D-Medical-Images-Segmentation--SALMON is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Pytorch--3D-Medical-Images-Segmentation--SALMON releases are not available. You will need to build from source code and install.

Build file is available. You can 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 Pytorch--3D-Medical-Images-Segmentation--SALMON and discovered the below as its top functions. This is intended to give you an instant insight into Pytorch--3D-Medical-Images-Segmentation--SALMON implemented functionality, and help decide if they suit your requirements.

Create data loader .
Segment image .
Resample an image .
Crop image .
Build a network .
Process TK image .
Crop the center of a rectangle .
Resize image .
Create a NetworkX network .
Initialize weights .

Get all kandi verified functions for this library.

Pytorch--3D-Medical-Images-Segmentation--SALMON Key Features

No Key Features are available at this moment for Pytorch--3D-Medical-Images-Segmentation--SALMON.

Pytorch--3D-Medical-Images-Segmentation--SALMON Examples and Code Snippets

No Code Snippets are available at this moment for Pytorch--3D-Medical-Images-Segmentation--SALMON.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install Pytorch--3D-Medical-Images-Segmentation--SALMON

You can download it from GitHub.
You can use Pytorch--3D-Medical-Images-Segmentation--SALMON 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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