An artificial intelligence system to better detect cancer tumors | T16

The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes. The approach is similar to the algorithms that facial-recognition software uses. The software was fed more than 1,000 CT scans to help it learn to look for the tumors.


Engineers at the University of Central Florida's Computer Vision Research Center have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The next step is to move the research project into a hospital setting. The computer was taught how to ignore other tissue, nerves and other masses it encountered in the CT scans and analyze lung tissues.


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