Our lab harnesses the power of large AI models to revolutionize healthcare. By leveraging vast datasets and advanced algorithms, we aim to significantly improve diagnostic accuracy, treatment personalization, and patient outcomes, driving the future of medical innovation.
Breast cancer, the most diagnosed malignancy globally, demands early detection and personalized treatment. Our deep learning-assisted system for breast cancer screening, diagnosis, and treatment response prediction aims to enhance diagnostic efficiency and patient quality of life through personalized care.
Computational pathology revolutionizes cancer diagnosis by analyzing large-scale whole-slide images (WSI) with advanced AI. Our work facilitates pathologists in clinical diagnosis, structural profiling, biomarker discovery, and personalized treatment, significantly improving diagnostic precision.
Our deep learning-assisted cytology system aids in early cancer detection, such as cervical cancer screening, by reducing cytologists' workload. We focus on data standardization, advanced algorithms for cell-level analysis, and integrated systems for imaging and human-machine collaboration.
