Thursday, November 16, 2017

How AI Can Detect Lung Cancer from CT Scans

Detecting, diagnosing and treating cancer requires having access to the right tools. Consider lung cancer, which causes one in five cancer-related deaths worldwide — taking about 1.6 million lives a year — and which has frustratingly high rates of mortality. In England, to cite one example, more than one-third of cases are diagnosed after presenting as an emergency, by which time the vast majority are already at a late stage.

To diagnose the disease, physicians rely on the segmentation of lesions on the lungs using a combination of PET and CT scans. These determine the functional properties of a lesion, as well as its anatomical structure and characteristics. Poland-based Future Processing, a member of NVIDIA’s Inception program, is working to simplify the use of these tools, making the diagnosis process more affordable, accessible and accurate. Its medical imaging solutions business segment works closely with medical imaging experts, research institutions and clinics around the world to develop software that can make better sense of images.