We have established a cooperative relationship with LBP Group to develop an intelligent labeling tool for pathological images for problems.
Read MoreWe cooperated with Peking Union Medical College and Shenzhen Maternal and Child Health Hospital to develop an efficient and accurate artificial intelligence diagnosis system for cervical cancer omics pathological images.
Read MoreIn cooperation with Peking Union Medical College and Shenzhen Maternal and Child Health Hospital, the intelligent interpretation system is designed to improve the understanding of colposcopy reports.
Read MoreThe collaboration focuses on exploring the recurrence patterns of liver cancer based on liver WSI slices.
Read MoreThis project aims to develop a multimodal AI model for predicting the efficacy of various drug therapies in treating GER symptoms.
Read MoreThe project is predicting the mutation status of the PIK3CA gene based on HE slices and the efficacy of neoadjuvant therapy.
Read Morea multi-modal deep learning model based on HE images and HER2 immunohistochemistry images for predicting the prognosis of metastatic breast cancer.
Read MoreWe jointly dedicated to researching the application of artificial intelligence in the field of breast cancer.
Read MoreOur laboratory is collaborating with The Sixth Affiliated Hospital of Sun Yat-sen University (SYSU Sixth Hospital) to develop an intelligent multi-modal medical data platform.
Read MoreLung cancer is the most common and diverse type of cancer in modern society. This project focuses on case-level lung cancer tasks that require comprehensive judgment based on multiple slices, particularly the task of evaluating the immunohistochemical heterogeneity of lung cancer. It develops report generation and diagnostic assistance models to support pathologists in making case-level diagnoses.
Read More