a1004123217/medit

Medical and Digital Image Tookbox. This project includs some functions to process medical image and digital images.

MeDIT

Medical and Digital Image Toolbox (MeDIT) support a bunch of functions to process medical image and digital images. This was used for the engineers on image processing.

If you publish any work which uses this package, I will appreciate that you could cite the following publication: Song Y, Zhang YD, Yan X, Liu H, Zhou M, Hu B, Yang G, Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI. J Magn Reson Imaging. 2018 Apr 16. doi: 10.1002/jmri.26047.

Welcome any issues and PR.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisties

The below modules must be installed first to make the MeDIT work.

- dicom
- dicom2nifti
- h5py
- matplotlib (seaborn)
- numpy
- pandas
- scipy
- scikit-image
- scikit-learn

Installing

Just clone it by typing in:

git clone https://github.com/salan668/MeDIT.git

If you would like to use MeDIT in any project, please add the path in your system envirement. A trick method is to create a .pth file in the site-packages folder (\Lib\site-packages) and add a path that point to the root folder of the MeDIT.

Document

TODO

Author

• Yang Song([email protected])

License

This project is licensed under the GPL 3.0 License - see the LICENSE.md file for details