Using AI Segmentation

Segmentation uses AI to automatically identify and highlight organs, structures, and lesions on your images. The results appear as colour-coded overlays on top of the image, making it easy to see exactly where each structure is.

Note: Segmentation requires a valid licence key.

Setting Up Segmentation

This is the easiest way to get started. Kantrad handles everything for you:

  1. Open Settings, then go to Segmentation.
  2. Select Local (Python).
  3. Click Set Up Segmentation Server.
  4. Kantrad will automatically download and install everything it needs. This may take a few minutes the first time, as it needs to download about 1.3 GB of data.
  5. When the setup is complete, the server starts automatically.

After the first time, the segmentation server starts on its own whenever you open Kantrad.

Option 2: Connect to a Remote Server

If your department already has a segmentation server running, you can connect to it:

  1. Open Settings, then go to Segmentation.
  2. Select Remote Server.
  3. Enter the server address (ask your IT department for this).
  4. If the server requires a password or token, enter it in the authentication field.
  5. Click Test Connection to make sure it works.
  6. Click Save.

Running Segmentation on an Image

From the Viewer

  1. Click the brain icon in the viewer toolbar (in the second row of buttons).
  2. A panel opens showing which segmentation models are available.
  3. Choose a model and click Run Segmentation.
  4. After a moment, coloured overlays appear on your image showing the identified structures.

From the AI Chat

  1. Click the Segment button (shown in purple) above the chat input.
  2. Kantrad runs segmentation and shows the results in the chat window.
  3. The AI assistant automatically explains what was found.
  4. You can ask follow-up questions about the highlighted structures.

Adjusting the Overlay

Once segmentation results are showing on your image, you can:

  • Change the transparency — Use the opacity slider to make the overlay more or less see-through (from fully transparent to fully opaque).
  • See what each colour means — Check the label legend to know which colour represents which structure.
  • Remove the overlay — Click Clear to remove the segmentation overlay from the image.

How You Know It Is Running

When the segmentation server is active, a purple Segmentation label appears in the top bar of the application.

What You Need

  • About 1.5 GB of free disk space for the software and models.
  • About 1—2 GB of available memory while the server is running.
  • A graphics card (optional) speeds things up significantly, but it works without one too — just more slowly.