Skip to main content

TODO.

Project description

niftyreg_preprocessor

does the following

  • co-registration
  • atlas registration
  • transformation
  • skullstripping in brats-space
  • apply masking
  • result: 4niftis, skullstripped brats-space -> save to path

atlas

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2915788/

installation:

pip install -e "git+https://github.com/neuronflow/BrainLes.git@main#egg=HD_BET&subdirectory=preprocessing/brainles_preprocessing/brain_extraction/HD_BET"

/home/florian/flow/BrainLesion/BrainLes/preprocessing

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

BrainLes_preprocessing-0.0.2.tar.gz (16.6 kB view details)

Uploaded Source

Built Distribution

BrainLes_preprocessing-0.0.2-py3-none-any.whl (16.2 kB view details)

Uploaded Python 3

File details

Details for the file BrainLes_preprocessing-0.0.2.tar.gz.

File metadata

File hashes

Hashes for BrainLes_preprocessing-0.0.2.tar.gz
Algorithm Hash digest
SHA256 6cce6568a4afa8133670dec5d8e6611b343cc8e023d1cf07cbf6f28e233ebcc8
MD5 770aa2a7a8da2e679a834ceb093eb175
BLAKE2b-256 5aa50ee9903a2026b7cebb45c06024b262e21c4bba1f216ae1d1dc03e718a1dc

See more details on using hashes here.

File details

Details for the file BrainLes_preprocessing-0.0.2-py3-none-any.whl.

File metadata

File hashes

Hashes for BrainLes_preprocessing-0.0.2-py3-none-any.whl
Algorithm Hash digest
SHA256 3636a2ef951039df8f969ca829fee9ff5defaa07e33525d88d9df704a2433a73
MD5 df1c5dd755e05558e72a00428000ff8b
BLAKE2b-256 199022c8ad37140ae16f7cabdea7c08e0554394a256c6a74938293f46dee02ea

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