Medical Image Analysis

- Professor Sanghyun Park’s research team in the Department of Robotics and Mechatronics Engineering successfully developed a novel AI model that can effectively utilize medical images from multiple healthcare institutions with the knowledge distillation technique based on federated learning - Findings were published in Medical Image Analysis (MedIA), one of the top journals in medical AI

- DGIST Professor Park Sang-Hyun's research team developed a deep learning technology that accurately detects cancer sites with little information through joint research with a research team led by Professor Nam Su-jeong and Professor Ko Hyeon-Jeong of Seoul Asan Medical Center - Expected to make significant contribution to enhancing the efficiency of deep learning models, which needed an accurately drawn dataset to detect cancer sites.

Scientists develop new algorithm for rapid, computerized diagnosis of COVID-19, overcoming the limitations of reverse transcription polymerase chain reaction