中华放射肿瘤学杂志  2022, Vol. 31 Issue (5): 421-424 DOI: 10.3760/cma.j.cn113030-20211203-00496 |
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| 放射治疗计划自动化分级建议 | ||||
| 门阔1, 胡伟刚2, 张艺宝3, 王培4, 尹勇5, 戴建荣1 | ||||
| 1国家癌症中心/国家肿瘤临床医学研究中心/中国医学科学院北京协和医学院肿瘤医院放疗科,北京 100021; 2复旦大学附属肿瘤医院放疗中心,复旦大学上海医学院肿瘤学系,上海市放射肿瘤学重点实验室,上海 200032; 3北京大学肿瘤医院暨北京市肿瘤防治研究所放疗科,恶性肿瘤发病机制及转化研究教育部重点实验室,北京 100142; 4电子科技大学医学院附属肿瘤医院/四川省肿瘤医院,成都 610041; 5山东省肿瘤防治研究院(山东省肿瘤医院),山东第一医科大学(山东省医学科学院),济南 250117 |
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| Consensus on taxonomy of planning automation for radiotherapy | ||||
| Men Kuo1, Hu Weigang2, Zhang Yibao3, Wang Pei4, Yin Yong5, Dai Jianrong1 | ||||
| 1Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China; 2Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Department of Oncology, Shanghai Medical College, Fudan University;Shanghai Key Laboratory of Radiation Oncology, Shanghai 200032, China; 3Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Radiation Oncology,Peking University Cancer Hospital&Institute,Beijing 100142, China; 4The Affiliated Cancer Hospital, School of Medicine, University of Electronic Science and Technology of China, Sichuan Cancer Hospital, Chengdu 610041, China; 5Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Ji'nan 250117, China |
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