Skip to main content

This package is based on torchplus and provides medical image computations.

Project description

MIComputing

Introduction

Package micomputing is the medical image processing package under project PyCTLib. It handles medical image read write, image interpolation, transformation, registration and so on. This package works under PyCTLib and use torchplus.Tensor as its basic data format.

Installation

This package can be installed by pip install micomputing or moving the source code to the directory of python libraries (the source code can be downloaded on github or PyPI).

pip install micomputing

Acknowledgment

@Yuncheng Zhou: Developer

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

micomputing-0.0.18-py3-none-any.whl (14.6 kB view details)

Uploaded Python 3

File details

Details for the file micomputing-0.0.18-py3-none-any.whl.

File metadata

  • Download URL: micomputing-0.0.18-py3-none-any.whl
  • Upload date:
  • Size: 14.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.2.0 pkginfo/1.6.0 requests/2.24.0 setuptools/49.2.1 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.6

File hashes

Hashes for micomputing-0.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 1d4f453f31bfac1bc683a5c73a099bfb4a177208be4d11ff0679f4913f1e8eb8
MD5 b32c1845dfa8ba2f61dceecce5a660f5
BLAKE2b-256 8e62456fa0a20f8e5b06f12ecf3ce5690eaffc3a9541c144300937b4eef9b5e4

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