In risk classification for prostate cancer, Prostate Specific Antigen (PSA) and the Gleason score are commonly used, and studies have been conducted on estimating the Gleason score through image analysis methods combined with MRI-based diagnostic imaging. In this study, we will apply AI technology for the detection of prostate cancer and the estimation of the Gleason score, with the goal of developing a tool to support diagnosis and treatment.

Development Section in Charge

AI Development for Diagnostic Imaging Assistant Section

Principal Investigator

YOSHIMURA Takaaki, Senior Lecturer, Department of Health Sciences and Technology, Faculty of Health Sciences

University-Affiliated Researchers

SUGIMORI Hiroyuki, Associate Professor, Department of Biomedical Science and Engineering, Faculty of Health Sciences

External Funding

This study was supported in part by Grants-in-Aid for Regional R&D Proposal-Based Program
from Northern Advancement Center for Science & Technology of Hokkaido Japan（2022）