放射線科

研究成果

フィルター
会議での発言
2019

Automated segmentation framework of lung gross tumor volumes on 3D planning CT images using dense V-Net deep learning

Nakano, R., Arimura, H., Haekal, M. & Ohga, S., 1 1 2019, International Forum on Medical Imaging in Asia 2019. Kim, J. H., Lin, F. & Fujita, H. (版). SPIE, 110500Y. (Proceedings of SPIE - The International Society for Optical Engineering; 巻数 11050).

研究成果: 著書/レポートタイプへの貢献会議での発言

2018

Bayesian delineation framework of clinical target volumes for prostate cancer radiotherapy using an anatomical-features-based machine learning technique

Ninomiya, K., Arimura, H., Sasahara, M., Hirose, T., Ohga, S., Umezu, Y., Honda, H. & Sasaki, T., 1 1 2018, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. Fei, B. & Webster, R. J. (版). SPIE, 105761Z. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; 巻数 10576).

研究成果: 著書/レポートタイプへの貢献会議での発言

2017

Reconstruction of four-dimensional computed tomography images during treatment time using electronic portal imaging device images based on a dynamic 2D/3D registration

Nakamoto, T., Arimura, H., Hirose, T. A., Ohga, S., Umezu, Y., Nakamura, Y., Honda, H. & Sasaki, T., 1 1 2017, Medical Imaging 2017: Physics of Medical Imaging. Schmidt, T. G., Lo, J. Y. & Flohr, T. G. (版). SPIE, 101322V. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; 巻数 10132).

研究成果: 著書/レポートタイプへの貢献会議での発言