Metadata-Version: 2.1
Name: micomputing
Version: 1.1.37
Summary: 'micomputing' is a package for medical image computing. 
Home-page: https://github.com/Bertie97/PyZMyc/micomputing
Author: Yuncheng Zhou
Author-email: bertiezhou@163.com
License: MIT Licence
Keywords: pip,pymyc,micomputing,medical image,image registration,image similarities
Platform: any
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: torch (>=1.5.1)
Requires-Dist: batorch
Requires-Dist: pycamia
Requires-Dist: pyoverload
Requires-Dist: nibabel
Requires-Dist: pydicom
Requires-Dist: SimpleITK

# MIComputing

## Introduction

Package [`micomputing`](https://github.com/Bertie97/pycamia/tree/main/micomputing) is the medical image processing package under project [`PyCAMIA`](https://github.com/Bertie97/pycamia). It handles medical image read write, image interpolation, transformation, registration and so on. This package works under `PyCAMIA` and use `batorch.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](https://github.com/Bertie97/pycamia) or [PyPI](https://pypi.org/project/micomputing/)). 

```shell
pip install micomputing
```



## Acknowledgment

@Yuncheng Zhou: Developer


