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A.I. System Developed to Detect Often-Missed Cancer Tumors

News   Aug 23, 2018 | Original story from University of Central Florida

 
A.I. System Developed to Detect Often-Missed Cancer Tumors

Assistant Professor Ulas Bagci leads the group of engineers at the University of Central Florida that have taught a computer how to detect tiny specks of lung cancer in CT scans, which radiologists often have a difficult time identifying. The artificial intelligence system is about 95 percent accurate, compared to 65 percent when done by human eyes, the team said. Credit: University of Central Florida, Karen Norum

 
 
 

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