Deep Learning in Imaging

Deep Learning in Imaging uses advanced computer algorithms that mimic the way the human brain processes visual information. It involves training neural networks on large datasets of images so they can learn to recognize patterns, shapes, and features. This enables applications like medical imaging diagnosis, facial recognition, or image enhancement. Essentially, it allows computers to automatically interpret and analyze visual data with high accuracy, often surpassing traditional methods, by leveraging layered processing that improves understanding at multiple levels of detail.