MEDICAL IMAGE RESEARCH · INTERACTIVE DEMO

A closer look.
A clearer workflow.

Follow a real desktop recording, one step at a time. Explore how a segmentation threshold changes what the model highlights.

Open the browser app
01 THE WALKTHROUGH00:33 · 8 chapters · EN / 中文
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Sample loaded. Original image on the left; model prediction on the right.

The recording starts with an image already loaded. Captions describe the visible actions; empty screen borders have been cropped.

02 · YOUR TURN

From watching
to exploring.

Upload an image or choose a sample. Adjust the threshold, inspect candidate regions, and download the results.

Launch the browser app

No installation. No account.
Your selected images stay in your browser.

A compact research model

A U-Net model trained on Kvasir-SEG, brought to the browser with the same trained weights.

Explore, then interpret

The overlay shows candidate regions. Changing a threshold changes the selected pixels; it does not establish a diagnosis.

Know the scope

Still-image polyp segmentation only. Inflammation, ulcers, and live video detection are outside this prototype’s scope.