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Nvidia Researchers Generate Synthetic Brain MRI Images For AI Research (zdnet.com)
AI holds a great deal of promise for medical professionals who want to get the most out of medical imaging. However, when it comes to studying brain tumors, there's an inherent problem with the data: abnormal brain images are, by definition, uncommon. New research from Nvidia aims to solve that. From a report: A group of researchers from Nvidia, the Mayo Clinic, and the MGH & BWH Center for Clinical Data Science this weekend are presenting a paper on their work using generative adversarial networks (GANs) to create synthetic brain MRI images. GANs are effectively two AI systems that are pitted against each other -- one that creates synthetic results within a category, and one that identifies the fake results. Working against each other, they both improve. GANs could help expand the data sets that doctors and researchers have to work with, especially when it comes to particularly rare brain diseases.
On GAN's generally, since no actual research is linked to, here: https://arxiv.org/pdf/1406.266...
That was a profoundly influential paper. A must read for anyone interested in modern AI.
Ian Goodfellow, the primary author, also co-authored Deep Learning, the best book available for learning about deep neural nets.
This is the most useless comment I have ever seen. You don't address the concern,
which I think is perfectly valid, then give some useless facts and comparison. What
is this? I want my 10 seconds back.