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
Release history Release notifications | RSS feed
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
File details
Details for the file micomputing-0.0.10-py3-none-any.whl.
File metadata
- Download URL: micomputing-0.0.10-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
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 015f2168bba9fc41199572237a0d59f817921f7d5966ab0974a1870c03d72c38 |
|
| MD5 | 4a9c90e1a6d176c27feeca6c5280c851 |
|
| BLAKE2b-256 | 9ab08e5ddfc058b6b8da75832c312459a348a0551ea5b7fb3bad3033b85df467 |
