Tokai University · Graduate School of Medicine / Faculty of Medicine · 助教

Research keywordsRadiotherapy planning・Dosimetry・Deep inspiration breath hold・Semantic segmentation・U-Net・Prostate cancer radiotherapy

This is a public-data preview. Personalized fit, contact angles, and saved workflows require sign-in.

• Comparing the toxicity and disease control rate of radiotherapy for prostate cancer between salvage settings after high-intensity focused ultrasound therapy and initial settings
• Simple low-cost approaches to semantic segmentation in radiation therapy planning for prostate cancer using deep learning with non-contrast planning CT images.
• Effect on Heart and Lung Doses Reduction of Abdominal and Thoracic Deep Inspiratory Breath-hold Assuming Involved-field Radiation Therapy in Patients with Simulated Esophageal Cancer.
• Effects of sample size and data augmentation on U-Net-based automatic segmentation of various organs.

• 多様な不規則呼吸パターンに対応する機械学習による標的位置予測システム
• 2023年度医学部医学科研究助成金（重点的研究助成）
• 画像主体で極力主観を排した客観的指標による放射線肺臓炎の評価法の開発
• 2020年度医学部医学科研究助成金（萌芽的研究助成）

• Official profile