Google's Self-Learning Medical Imaging Algorithm Changes the Game – Bestgamingpro

Deep learning has a lot of potential in health care, especially in the field of medical imaging, where it may be used to enhance diagnosis speed and accuracy. However, there is one significant limitation: a lack of labeled training data. In healthcare settings, training data comes at a high price, making it impossible to employ deep learning for many applications. Because of this difficulty, researchers have looked at a variety of options throughout the development process. Google's artificial intelligence specialists just released a paper in which they propose using self-supervised learning to machine learning for radiology.