Takuya Ueda

About

Professor Takuya Ueda is a faculty member at the Tohoku University Graduate School of Medicine in Japan. His research areas include deep learning applications in medical imaging, particularly in breast cancer diagnosis and placenta segmentation. He has authored recent articles focusing on predicting Ki-67 expression using digital breast tomosynthesis and assessing mortality rates of COVID-19 patients in Japan. His work contributes significantly to advancements in radiological techniques and statistical analysis in healthcare.