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Open Source Science

https://github.com/aramis-lab/ad-dl

Classification of Alzheimer's disease status with convolutional neural networks.

https://github.com/aramis-lab/ad-dl

Science Score: 23.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
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    codemeta.json file
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    .zenodo.json file
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    DOI references
    Found 2 DOI reference(s) in README
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    Academic publication links
    Links to: zenodo.org
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    Scientific vocabulary similarity
    Low similarity (8.5%) to scientific vocabulary

Keywords

alzheimers-disease convolutional-neural-networks deep-learning
Last synced: 9 months ago · JSON representation

Repository

Classification of Alzheimer's disease status with convolutional neural networks.

Basic Info
  • Host: GitHub
  • Owner: aramis-lab
  • License: mit
  • Language: Python
  • Default Branch: initial
  • Homepage:
  • Size: 6.02 MB
Statistics
  • Stars: 33
  • Watchers: 4
  • Forks: 8
  • Open Issues: 0
  • Releases: 0
Archived
Topics
alzheimers-disease convolutional-neural-networks deep-learning
Created almost 5 years ago · Last pushed almost 5 years ago

https://github.com/aramis-lab/AD-DL/blob/initial/ 


  Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation



:warning: **Note:** :warning:
> This project evolved in a python package for the processing of neuroimaging data
> with deep learning methods. Please use the [ClinicaDL](https://github.com/aramis-lab/clinicadl)
> library to benefit from the last updates!


## About the project

This repository hosts the code source for reproducible experiments on
**automatic classification of Alzheimer's disease (AD) using anatomical MRI
data**.
It allows training autoencoders and convolutional neural networks.
The journal version of the paper describing this work is available
[here](https://doi.org/10.1016/j.media.2020.101694) and an Open Access version is available [here](https://hal.archives-ouvertes.fr/hal-02562504v2/document).

## Pretrained models

Some pretrained CNNs can be obtained here:
.
These models were obtained during the experiments for publication.

## Bibliography

All the papers described in the "State of the art" section of the manuscript may
be found at this URL address: .

Owner

  • Name: ARAMIS Lab
  • Login: aramis-lab
  • Kind: organization
  • Location: Paris, France

The Aramis Lab is a joint research team between CNRS, Inria, Inserm and Sorbonne University and belongs to the Paris Brain Institute (ICM).

GitHub Events

Total
  • Watch event: 4
  • Fork event: 1
Last Year
  • Watch event: 4
  • Fork event: 1

Dependencies

clinicadl/setup.py pypi
  • numpy >=1.17
docs/requirements.txt pypi
  • mkdocs >=1.1
  • mkdocs-material *
requirements.txt pypi
  • clinica >=0.3.6
  • colorama *
  • nilearn *
  • nipy *
  • pandas *
  • tensorboardX *