Synopsis of recent research by authors named "Yuki Miyabe"
- Yuki Miyabe's research primarily focuses on improving radiation therapy techniques and outcomes through the assessment and optimization of dosiomics, treatment planning, and verification methods in various types of cancer therapies, particularly lung and breast cancer.
- Key findings include the importance of accurately quantifying dosiomics features and utilizing advanced image acquisition techniques to enhance treatment precision and planning target volume adjustments during stereotactic body radiation therapy and volumetric-modulated arc therapy.
- Miyabe's studies also highlight the potential of machine learning to enhance the prediction and classification of gamma passing rates by integrating complex treatment planning features, thus facilitating better verification processes in radiation oncology.
