HONG KONG, Sept. 6 (Xinhua) -- The Chinese University of Hong Kong announced on Sept. 6 that a research team led by Prof. Heng Pheng Ann, Department of Computer Science and Engineering, has developed an automated image processing technology that, through deep learning, is able to offer efficient and accurate diagnosis using CT scan and histopathological images.
The technology has been tested on two of Hong Kong's most prevalent cancers, lung cancer and breast cancer, achieving diagnostic accuracies of 91 percent and 99 percent respectively in durations of between 30 seconds and 10 minutes.
The tests demonstrate that the technology not only boosts efficiency in clinical diagnosis, but also reduces misdiagnosis. The automated screening and analysis technology is expected to be widely adopted by the local medical sector in the next couple of years.
