User Guide¶
Welcome to the ClinicaDL User Guide. This guide walks you through the library, from manipulating your neuroimaging data to building and managing a full deep learning experiment.
If you are new to ClinicaDL, start with the Quickstart: it explains what ClinicaDL is for and offers a condensed, end-to-end tour of the library. The following chapters then go into the details, one building block at a time.
1. Manipulating neuroimaging data
Data structures, BIDS datasets, transforms, splits and batching
2. Building a deep learning workflow
Defining a model, training, evaluating and callbacks
3. Experiment management and reproducibility
Configuration classes and the MAPS
4. Customising your experiment
Extend ClinicaDL with your own objects