Skip to main content

Add your description here

Project description

MirCAT-v2

Mirshahi-Lab CT Analysis Toolkit (MirCAT). Convert dicoms, segment niftis, extract data.
V1 has been archived. This version is almost a full rewrite of the segmentation section, specifically to incorporate nnUNet models directly into the pipeline.

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

mircat_v2-0.1.0.tar.gz (413.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mircat_v2-0.1.0-py3-none-any.whl (323.7 kB view details)

Uploaded Python 3

File details

Details for the file mircat_v2-0.1.0.tar.gz.

File metadata

  • Download URL: mircat_v2-0.1.0.tar.gz
  • Upload date:
  • Size: 413.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.1

File hashes

Hashes for mircat_v2-0.1.0.tar.gz
Algorithm Hash digest
SHA256 972cee3a3209ad2576d66c6a10d8e69dbd586cf1c836574e46c30e08872810ea
MD5 70a8be483d51cf24cc5136c1e120a120
BLAKE2b-256 744ef493a8e13e35923175b9f09f2dabcd807f0c026425d75db48d4e8980678f

See more details on using hashes here.

File details

Details for the file mircat_v2-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: mircat_v2-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 323.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.1

File hashes

Hashes for mircat_v2-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 012eadd3ddf0ecc8189df0c35c69d2e9066885c7c96bade2361004c22c4c2183
MD5 05863ab6bfd64081c264e96c7295d9e2
BLAKE2b-256 08d0986f54aa288c805a93ac289eb147195b3d321e4127c340a74f4314afa03f

See more details on using hashes here.

Supported by

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