Academics | The Hong Kong University of Science and Technology

In collaboration with Peking Union Medical College and Shenzhen Maternal and Child Health Care Hospital, we integrate histopathological H&E stained slides and p16 stained images to develop a deep learning algorithm for binary classification (LSIL- and HSIL+) of cervical tissue pathology samples. This initiative aims to create an efficient, accurate, and reliable artificial intelligence diagnostic system for cervical cancer genomics pathology images. The goal is to enhance the accuracy of early cervical cancer diagnosis, shorten the time and process of pathological diagnosis, reduce the costs associated with patient treatment and diagnosis, and improve the level of public health and medical services.