Raidionics-Slicer | Automatic segmentation and generation | Data Labeling library

by dbouget Python Version: v1.1.0-beta License: No License

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | Raidionics-Slicer Summary

Raidionics-Slicer is a Python library typically used in Artificial Intelligence, Data Labeling applications. Raidionics-Slicer has no bugs, it has no vulnerabilities and it has low support. However Raidionics-Slicer build file is not available. You can download it from GitHub.

Automatic segmentation and generation of standardized clinical reports for the most common brain tumors, using MRI volumes

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Raidionics-Slicer has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Raidionics-Slicer is v1.1.0-beta

Quality

Raidionics-Slicer has no bugs reported.

Security

Raidionics-Slicer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

Raidionics-Slicer does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Raidionics-Slicer releases are available to install and integrate.

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

Installation instructions, examples and code snippets are available.

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Raidionics-Slicer Key Features

No Key Features are available at this moment for Raidionics-Slicer.

Raidionics-Slicer Examples and Code Snippets

No Code Snippets are available at this moment for Raidionics-Slicer.

Community Discussions

Trending Discussions on Data Labeling

How can I do this split process in Python?

Replacing a character with a space and dividing the string into two words in R

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

QUESTION

How can I do this split process in Python?

Asked 2021-Dec-30 at 14:06

I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

What I've done so far is make this representation with the same enumerator class.

A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

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ANSWER

Answered 2021-Dec-30 at 13:57

Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

Source https://stackoverflow.com/questions/70532286

QUESTION

Replacing a character with a space and dividing the string into two words in R

Asked 2020-Nov-18 at 07:32

I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

i have this:

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ANSWER

Answered 2020-Nov-16 at 07:24

Try something like:

Source https://stackoverflow.com/questions/64853962

QUESTION

Azure ML FileDataset registers, but cannot be accessed for Data Labeling project

Asked 2020-Oct-28 at 20:31

Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

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ANSWER

Answered 2020-Oct-27 at 22:39

Is the data behind virtual network by any chance?

Source https://stackoverflow.com/questions/64546521

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

Vulnerabilities

No vulnerabilities reported

Install Raidionics-Slicer

2.2 Download the Raidionics plugin code:. 2.3 Download and install Docker (see below). 2.3 Load the plugin into 3DSlicer: ∘ All Modules > Extension Wizard. ∘ Developer Tools > Extension Wizard. ∘ Select Extension > point to the folder (second Raidionics) and add it to the path (tick the small box at the bottom). :warning: A restart of 3DSlicer is necessary after the initial launch with the plugin to have the proper Python environment.
release candidate with name Raidionics-Slicer on the right-hand panel (Github repo). Or
git clone --single-branch --branch master https://github.com/dbouget/Raidionics-Slicer.git /path/to/folder/.
A proper Docker setup is mandatory since all processing is performed within a Docker image, 3DSlicer is only used for its GUI. Start by downloading the Docker Desktop app at https://www.docker.com/products/docker-desktop/. Then click on the downloaded executable and follow the instructions.
• The necessary Docker images are public, therefore an account is not necessary. All images will be automatically downloaded upon model selection, which might take some minutes while the 3DSlicer interface won't be responding.

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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