DLICV 1.0.0

DLICV - Deep Learning Intra Cranial Volume.

DLICV - Deep Learning Intra Cranial Volume

Overview

DLICV uses a trained nnUNet model to compute the intracranial volume from structural MRI scans in the nifti image format, oriented in LPS orientation.

Installation

As a python package

pip install DLICV

Directly from this repository

git clone https://github.com/CBICA/DLICV
cd DLICV
pip install -e .

Usage

A pre-trained nnUNet model can be found at our hugging face account or at DLICV-V2 v1.0.0 release. Feel free to use it under the package's licence

DLICV -i "input_folder" -o "output_folder" -d "id" -device cuda/cpu/mps

You can perform one example test run using the test input folder by running

DLICV -i test_input/DLICV_test_images -o test_input/DLICV_test_results -d 901 -device cuda

Contact

For more information, please contact CBICA Software.

For developers

Contributions are welcome! Please refer to our CONTRIBUTING.md for more information on how to report bugs, suggest enhancements, and contribute code. If you're a developer looking to contribute, you'll first need to set up a development environment. After cloning the repository, you can install the development dependencies with:

pip install -r requirements.txt

This will install the packages required for running tests and formatting code. Please make sure to write tests for new code and run them before submitting a pull request.