Skip to main content

DLICV - Deep Learning Intra Cranial Volume.

Project description

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 .

Installing PyTorch

Depending on your system configuration and supported CUDA version, you may need to follow the PyTorch Installation Instructions.

Usage

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

DLICV -i "input_folder" -o "output_folder" -device cpu

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. Please make sure to write tests for new code and run them before submitting a pull request.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dlicv-1.0.1.tar.gz (7.3 kB view details)

Uploaded Source

Built Distribution

DLICV-1.0.1-py3-none-any.whl (6.8 kB view details)

Uploaded Python 3

File details

Details for the file dlicv-1.0.1.tar.gz.

File metadata

  • Download URL: dlicv-1.0.1.tar.gz
  • Upload date:
  • Size: 7.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for dlicv-1.0.1.tar.gz
Algorithm Hash digest
SHA256 cf37b4e97861655bd4ca3682bef4d8556391e0893e2d0f3ba78eca7278584d77
MD5 e8edb1429c6e547ef3553e8b1b2b698b
BLAKE2b-256 56f9d118f4e4226b8ea4cc4f9774535cb272eab27e64d2e3069b4d72f4ea4710

See more details on using hashes here.

File details

Details for the file DLICV-1.0.1-py3-none-any.whl.

File metadata

  • Download URL: DLICV-1.0.1-py3-none-any.whl
  • Upload date:
  • Size: 6.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for DLICV-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3ecf0219854954e59dc95d491abe46d2337c462932e445172e1edf44074eeffc
MD5 a261575a54ab0840aa10705107f31980
BLAKE2b-256 8483d7962690fbd3f8111a11d3ea566f47eeaa4a2e72b88b19e1a36f354bbb6c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page