Minh Do

Thomas and Margaret Huang Endowed Professor, Electrical and Computer Engineering

Areas of Research

Automated Cancer Diagnosis, Cancer Diagnostics, Cancer Imaging, Imaging and Genomics Integration, Machine Learning, Multidimensional Data Analysis, Prostate Cancer, Radiogenomics, Tissue Biopsy

Research Program and Theme

Program: Cancer Technology and Data Science
Theme: Cancer Imaging

Research Focus

Minh Do specializes in imaging research and has studied different types of cancer, including using quantitative phase imaging software and machine learning algorithms to accurately and automatically diagnose tissue biopsies of prostate specimens. Additionally, he combined imaging and genomic features to develop a radiogenomics risk signature, providing valuable information on the aggressiveness of newly diagnosed lung cancer. Furthermore, this project leverages and extends the OSF lung cancer screening program by establishing IRB-approved imaging and pathology repositories. His primary research goal is to develop multidimensional tools to capture geometrical structures that are typically the dominant feature in images and multidimensional data.