Image recognition represents a set of methods for detecting and analyzing images to enable the automation of a specific task. This technology is capable of identifying places, people, objects, and many other types of elements within an image, and drawing conclusions by analyzing it.
The use of image visualization and recognition software in medical diagnostics started over 20 years ago with Computer Vision
, which worked very well with hard tissue analysis, like X-rays. However, computer vision never allowed creating a reliable diagnostic system that would exclude the doctor from setting a diagnosis. A new performance limit was reached with the introduction of Deep Learning (DL)
and Convolutional Neural Networks (CNNs)
which was a game-changer for the Computer Vision industry.