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.

Comments

GANs for data augmentation?

[tempmpi]

I wonder if this can actually work. If you don't have enough images to train a classifier, why would training a GAN work? And even if training a GAN works, those images won't contain any information about tumors that were not already contained in the original images.

On the nose

[nospam007]

Artificial Intelligence finds artificial brain damage.

Re:Will just regurgitate what was already known

[religionofpeas]

I'm glad that for anything that scientist have thought of, there's always a slashdot expert who knows better.