Revolutionary AI model for cancer diagnosis

Professor Park Sang-Hyun of the Department of Robotics and Mechatronics Engineering has led a research team in developing a weakly supervised deep learning model that can accurately locate cancer in pathological images based only on data where the cancer is present. Existing deep learning models needed to construct a dataset to specify the cancer site whereas the model developed in this study improved efficiency. It is hoped that it will make a significant contribution to the relevant research field. Generally, locating the cancer site involves zoning which is time-consuming and increases cost so the new AI model looks to be promising. The weakly supervised learning model that zones cancer sites with only rough data such as'whether the cancer in the image is present or not' is under active study.