ClinicaDL
Open-source Python library for reproducible deep learning in neuroimaging
About the project
ClinicaDL is a Python library to build end-to-end reproducible deep learning pipelines for neuroimaging studies. It works with data following the BIDS standard, or preprocessed outputs of Clinica.
It relies on the medical imaging frameworks MONAI and TorchIO.
To access the full documentation of the project, follow this link.
Installation
See the installation guidelines.
Getting started
For a quick overview of ClinicaDL, read the Quickstart section of the documentation.
Contributing
See the contribution guidelines.
Related Repositories
- Clinica: Software platform for clinical neuroimaging studies
- AD-DL: Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation
- AD-ML: Framework for the reproducible classification of Alzheimer's disease using machine learning
Citing us
- Thibeau-Sutre, E., Díaz, M., Hassanaly, R., Routier, A., Dormont, D., Colliot, O., Burgos, N.: ClinicaDL: an open-source deep learning software for reproducible neuroimaging processing, 2021. doi:10.1016/j.cmpb.2022.106818 Open Access version
- 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. doi:10.3389/fninf.2021.689675 Open Access version
Metadata
Release files for clinicadl 2.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| clinicadl-2.0.0.tar.gz | 230.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| clinicadl-2.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 577.3 kB
Release files / clinicadl-2.0.0.tar.gz
| Download URL | clinicadl-2.0.0.tar.gz |
|---|---|
| Size | 230.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
aec6ae143190f47c9592795122d49c4f50ca7373ac1df20d2789a7a05b0455d2
|
|
BLAKE2b-256 checksum How to use checksums |
7c29edd86d43101d6289a7d1a65d66a7aaf4bcbb01ce82ed3004aa30d4ea9d63
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Release files / clinicadl-2.0.0-py3-none-any.whl
| Download URL | clinicadl-2.0.0-py3-none-any.whl |
|---|---|
| Size | 346.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
5131453cace29025051c3178b2e4617762d1178df0b28b4890021f624eadf0d8
|
|
BLAKE2b-256 checksum How to use checksums |
e2faab2212117f27f83ed9b921b228028af29ac73332e7d5ad536dcc6b76e723
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|