Samsung applies deep learning to create breast cancer ultrasound algorithm

Principal engineers Yeong Kyeong Seong (left) and Moon Ho Park–Courtesy of Samsung Samsung has applied deep learning to breast lesion analysis via ultrasound for the first time, the company claims. The algorithm it has developed is already incorporated into an upgraded version of its RS80A with Prestige ultrasound device. Creating a computer-aided diagnostic solution for ultrasound is particularly challenging because ultrasound images are read in real time, so it’s difficult to build a fast enough approach. In addition, ultrasound images have a lot of noise and lower resolution, making them more difficult to accurately process. Led by principal engineers Yeong Kyeong Seong and Moon Ho Park, the team drew on more than 10,000 anonymous images from partner hospitals including Samsung Medical Center in Seoul, South Korea to create an algorithm…


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