Zero-Learning-Fast-Medical-Image-Fusion

A Python3 implementation of the paper https://infoscience.epfl.ch/record/270048 using PyTorch and OpenCV.

Image fusion

In clinical applications, such as image-guided surgery and noninvasive diagnosis, medical image fusion plays a central role by integrating information from multiple sources into a single, more understandable output. An example generated by the method proposed is illustrated below:

Requirements

1. Python 3+
2. pip

How to use?

1. Open the terminal
2. Type git clone https://github.com/PanPapag/Zero-Learning-Fast-Medical-Image-Fusion.git to clone the repository to your local machine
3. Type pip install -r requirements.txt
4. Type python main.py --help to view possible options
5. Type python main.py to run the app

License

This project is licensed under the MIT License.

MIT © PanPapag