AI – Nvidia researchers develop AI system that generates synthetic scans of brain cancer
Posted by Cliff Locks On October 10, 2018 at 10:03 am
A current limitation on the accuracy of machine learning and AI systems is access to training data, particularly in a healthcare setting, where privacy concerns add additional limits. To address this need, Nvidia, the Mayo Clinic, and the MGH and BWH Center for Clinical Data Science have created a general adversarial network (GAN) to create synthetic 3D MRIs of brains with cancerous tumors. These synthetic images were then used to train neural networks to identify the presence of cancer on real patient data. So far, images have increased the accuracy of models by up to 80 percent, a 14 percent improvement and big step in identifying cancer earlier.
Why it’s important: Applying seemingly trivial concepts from one area to another — like using a GAN to create faces — can enable breakthroughs and a tangible positive impact. Look for Nvidia and team to fine-tune this approach to other types of cancer and disease in the brain to dramatically improve patient care. http://bit.ly/2OQfHYW
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