type: misc

label: url

en: Introduction to Medical Physics Course in Tokushima University

ja: 徳島大学大学院保健科学研究科医学物理学コースの紹介

en: Japanese Journal of Medical Physics

ja: 医学物理


en: Dual energy CTの最前線

ja: Dual energy CTの最前線


en: 4. Ultra-sound Image Analysis

ja: 超音波画像解析

en: Japanese Journal of Radiological Technology

ja: 日本放射線技術学会雑誌


en: Physics, machine learning, and medicine

ja: 物理学と機械学習,そして医療

en: In this manuscript, the relationship between physics and machine learning(ML)and the application to the medical field were informally described. The recent development of artificial intelligence, which is based on ML, urged us to apply the disease finding, disease classification, a decision-making system, and so on. I believe that the ML based medicine is a natural way to proceed. However, the important thing is not only to apply the ML technology in the various medical problems, but also to understand the causality in those problems : That's the approach in the physics, and the quantitative consideration in the research in physics yields almost same ways used in the ML. In addition, the state-of-the-art ML such as a deep learning, becomes one of the powerful tools in a discovery in physics. Although, the medical field has a benefit with ML, we'd need to go to the next stage to find solutions in more fundamental problems with the medically developed ML methodology.

en: Shikoku Acta Medica

ja: 四国医学雑誌


en: 敵対的生成ネットワーク(GAN)の放射線治療への応用

ja: 敵対的生成ネットワーク(GAN)の放射線治療への応用

en: Rad Fan

ja: Rad Fan


en: 四次元コーンビームCTによる臓器運動の可視化とその応用

ja: 四次元コーンビームCTによる臓器運動の可視化とその応用

en: 日本放射線技術学会誌

ja: 日本放射線技術学会誌