Description:

psmoe 0.1.4.5

Prostate Segmentation MoE
A simple Python module for easy segmentation of the prostate in T2-weighted MRI images in NIfTI format. This module utilizes a mixture of U-Net architectures for segmentation tasks and aims to provide a straightforward solution for users working with prostate MRI data.
Features

Segmentation of prostate regions in T2-weighted MRI images.
Uses a combination of trained U-Net models for accurate and efficient segmentation.
Supports input in the NIfTI format, a common format for medical imaging.
Returns 3D masks aswell as the volume estimation.

Recommended before installation (Windows)
Install virtualenv if not already
pip install virtualenv
Create a virtual environment
python -m venv venv
Activate it
venv\Scripts\activate

You may need to run Set-ExecutionPolicy Unrestricted -Scope Process before activation
If creating your own repository don't forget to ignore the venv folder in the .gitignore file

Installation
Install the library using pip:
pip install psmoe
Usage
Example
Check for example.py
Scripted Download
You can also download a T2-weighted MRI sequence using the provided function in the example.
License
This project is licensed under the MIT License - see the LICENSE file for details.
For more details, visit the GitHub repository.

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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