Google Research: Self-supervised learning is transforming medical imaging
But it also faces a serious barrier: The shortage of labeled training data. To overcome this hurdle, scientists have explored different solutions to various degrees of success. Google is one of several organizations that has been exploring its use inmedical imaging. It’s free, every week, in your inbox. One of the key challenges of deep learning is the need for huge amounts of annotated data. Large neural networks require millions of labeled examples to reach optimal accuracy....