In medical imaging, thresholding works by converting a grayscale image into a binary image. Each pixel in the grayscale image is compared to the threshold value. If the pixel value is higher than the threshold, it is set to white (representing the target area, such as a tumor), and if it is lower, it is set to black (representing the background). This binary image can then be analyzed for further insights.