deepbrain | Deep Learning tools for brain medical images | Machine Learning library

by iitzco Python Version: 0.1 License: MIT

X-Ray Key Features Code Snippets(2)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | deepbrain Summary

deepbrain is a Python library typically used in Healthcare, Pharma, Life Sciences, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. deepbrain has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install deepbrain' or download it from GitHub, PyPI.

Brain image processing tools using Deep Learning focused on speed and accuracy.

Support

Quality

Security

License

Reuse

Support

deepbrain has a low active ecosystem.

It has 57 star(s) with 26 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 9 open issues and 2 have been closed. On average issues are closed in 30 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of deepbrain is 0.1

Quality

deepbrain has 0 bugs and 0 code smells.

Security

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

deepbrain code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

deepbrain 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

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

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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

deepbrain saves you 409 person hours of effort in developing the same functionality from scratch.

It has 971 lines of code, 72 functions and 18 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Train the model
Create a convolutional network
Loads all the datasets
Shrink labels
Load iterators
Load dataset from file
Same as add_allips2
Transpose image
Flip an image
Process the ADNI dataset
Parse an example
Create a tf train Feature
Runs the model
Return the contents of the README md file

Get all kandi verified functions for this library.

deepbrain Key Features

No Key Features are available at this moment for deepbrain.

deepbrain Examples and Code Snippets

How to run

Python

Lines of Code : 15

License : Permissive (MIT)

Copy

$ deepbrain-extractor -i brain_mri.nii.gz -o ~/Desktop/output/

import nibabel as nb
from deepbrain import Extractor

# Load a nifti as 3d numpy image [H, W, D]
img = nib.load(img_path).get_fdata()

ext = Extractor()

# `prob` will be a 3d numpy imag

How to install

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

$ pip install deepbrain

Community Discussions

Trending Discussions on deepbrain

How to convert this prototype function into es6?

QUESTION

How to convert this prototype function into es6?

Asked 2018-May-22 at 21:31

// Converts snake-case to camelCase
String.prototype.toCamel = function () {
  return this.replace(/(\-[a-z])/g, $1 => $1.toUpperCase().replace('-', ''));
};

...

ANSWER

Answered 2018-May-22 at 21:28

Arrow functions have lexical binding, so you can't use this in the way that you want to. In the case you have this is undefined and you can't read property 'replace' of it.

Source https://stackoverflow.com/questions/50476640

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

Vulnerabilities

No vulnerabilities reported

Install deepbrain

You can install using 'pip install deepbrain' or download it from GitHub, PyPI.
You can use deepbrain 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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