Chinese University of Hong Kong Using GPU-Powered Systems to Speed Cancer Diagnosis

By Korbin LanPublished: Dec 24,2015 The top row shows benign tissue that has been segmented so it is easier to analyze. The bottom row shows abnormal tissue. (Photo: Chinese University of Hong Kong) Chinese University of Hong Kong have pushed the boundaries of cancer image analysis by using GPU-powered deep learning. Via this method researchers can speed up the time to save physicians, patients and precious time. The team’s work focused on colon cancer – the third most common cancer worldwide – recently took top honors at a challenge contest held at the Medical Image Computing and Computer conference, the world’s leading conference on medical imaging. Pathologists diagnose cancer by looking for abnormalities in tumor tissue and cells. The more abnormal, the more likely the cancer will grow and spread…


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