Prostate-Image-Segmentation
kandi X-RAY | Prostate-Image-Segmentation Summary
kandi X-RAY | Prostate-Image-Segmentation Summary
Prostate-Image-Segmentation is a Python library. Prostate-Image-Segmentation has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Prostate-Image-Segmentation build file is not available. You can download it from GitHub.
Prostate-Image-Segmentation
Prostate-Image-Segmentation
Support
Quality
Security
License
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Support
Prostate-Image-Segmentation has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Prostate-Image-Segmentation has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Prostate-Image-Segmentation is current.
Quality
Prostate-Image-Segmentation has no bugs reported.
Security
Prostate-Image-Segmentation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Prostate-Image-Segmentation 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
Prostate-Image-Segmentation releases are not available. You will need to build from source code and install.
Prostate-Image-Segmentation has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed Prostate-Image-Segmentation and discovered the below as its top functions. This is intended to give you an instant insight into Prostate-Image-Segmentation implemented functionality, and help decide if they suit your requirements.
- forward computation .
- Initialize the cliqueNet .
- Compute the dice error between two tensors .
- Calculate the backward objective .
- Create nn layers .
- Return the data for the given index .
- Returns the number of samples .
- Convert x into a Variable object .
- Return a dice loss .
Get all kandi verified functions for this library.
Prostate-Image-Segmentation Key Features
No Key Features are available at this moment for Prostate-Image-Segmentation.
Prostate-Image-Segmentation Examples and Code Snippets
No Code Snippets are available at this moment for Prostate-Image-Segmentation.
Community Discussions
No Community Discussions are available at this moment for Prostate-Image-Segmentation.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Prostate-Image-Segmentation
You can download it from GitHub.
You can use Prostate-Image-Segmentation 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.
You can use Prostate-Image-Segmentation 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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