Image recognition systems typically use convolutional neural networks (CNNs) to process and analyze images. The process involves training algorithms on large datasets of medical images, such as MRI, CT scans, and X-rays, to recognize patterns and features indicative of cancer. Once trained, these systems can quickly and accurately detect abnormalities in new images.
