To the untrained eye, a medical image such as an MRI or X-ray may appear as a confusing collection of black-and-white shapes.
It can be challenging to distinguish where one structure, such as a tumor, ends and another begins.
When AI systems are trained to understand the boundaries of biological structures, they can segment (or delineate) regions of interest that doctors and biomedical workers want to monitor for diseases and other abnormalities.
Instead of wasting time manually tracing anatomy across multiple images, an artificial assistant could handle that task.
Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts General Hospital (MGH), and Harvard Medical School have created an interactive tool called the “ScribblePrompt” framework.
This tool can quickly segment any medical image, even types it hasn’t seen before, without tedious data collection.
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