Framework for the reproducible classification of Alzheimer's disease using deep learning
Documentation | Tutorial | Forum | See also: AD-ML, Clinica
This repository hosts the source code of a framework for the reproducible evaluation of deep learning classification experiments using anatomical MRI data for the computer-aided diagnosis of Alzheimer's disease (AD).
Disclaimer: this software is under development. Some features can change between different releases and/or commits.
To access the full documentation of the project, follow the link https://clinicadl.readthedocs.io/. If you find a problem when using it or if you want to provide us feedback, please open an issue or write on the forum.
ClinicaDL currently supports macOS and Linux.
We recommend to use conda or virtualenv for the installation of ClinicaDL
as it guarantees the correct management of libraries depending on common
packages:
conda create --name ClinicaDL python=3.7
conda activate ClinicaDL
pip install clinicadl
🎗️ Visit our hands-on tutorial web site to start using ClinicaDL directly in a Google Colab instance!
- Clinica: Software platform for clinical neuroimaging studies
- AD-ML: Framework for the reproducible classification of Alzheimer's disease using machine learning
- Wen, J., Thibeau-Sutre, E., Samper-González, J., Routier, A., Bottani, S., Durrleman, S., Burgos, N., and Colliot, O.: ‘Convolutional Neural Networks for Classification of Alzheimer’s Disease: Overview and Reproducible Evaluation’, Medical Image Analysis, 63: 101694, 2020. doi:10.1016/j.media.2020.101694
- Routier, A., Burgos, N., Díaz, M., Bacci, M., Bottani, S., El-Rifai O., Fontanella, S., Gori, P., Guillon, J., Guyot, A., Hassanaly, R., Jacquemont, T., Lu, P., Marcoux, A., Moreau, T., Samper-González, J., Teichmann, M., Thibeau-Sutre, E., Vaillant G., Wen, J., Wild, A., Habert, M.-O., Durrleman, S., and Colliot, O.: ‘Clinica: An Open Source Software Platform for Reproducible Clinical Neuroscience Studies’, 2021. hal-02308126
To reproduce the results published in Wen et al., MedIA, 2020 (arXiv version)
please use the version of ClinicaDL tagged [v0.0.1](https://github.com/aramis-lab/AD-DL/tree/v.0.0.1).