Compuational Radiology and Pathology Integration:

Integrating radiological and patholgical image computing by making using machine learning and computer vision algorithms, especially deep learning models. The aim is to assist in computer-aided diagnosis and/or prognosis in biomecial imaging fields.

Computational Pathology for Computer-aided Prognosis (CAP):

Developing computer-aided prognosis system by performing histopathological image analysis using machine learning and computer vision algorithms, especially deep learning models. The projects are to predict patient survival risks, genomic biomarkers related to patient treatments, and etc. The aim is to help in achieving precise medicine.

Computational Pathology for Computer-aided Diagnosis (CAD)：

Developing computer-aided diagnosis system by performing histopathological image analysis using machine learning and computer vision algorithms, especially deep learning models. The aim is to assist pathologists in tumor/cancer diagnosis and grading.