机构：[1]Department of Radiation Oncology, Sichuan Cancer Hospital& Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation oncology Key Laboratory of Sichuan Province, Chengdu, China四川省人民医院四川省肿瘤医院[2]Sichuan Cancer Hospital, Chengdu, China四川省肿瘤医院[3]Department of Thoracic Surgery, Sichuan Cancer Hospital& Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China外科中心胸外科中心四川省人民医院四川省肿瘤医院胸外科[4]School of Computer Science and Engineering, Central South University, Changsha, China[5]Department 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, China
第一作者机构：[1]Department of Radiation Oncology, Sichuan Cancer Hospital& Institution, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Radiation oncology Key Laboratory of Sichuan Province, Chengdu, China
推荐引用方式(GB/T 7714)：
Wang Q.,Lang J.,Li T.,et al.CT Radiomics based on Machine Learning Predicting Pathologic Complete Response after Neoadjuvant Chemoradiotherapy for Esophageal Cancer[J].INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS.2020,108(3):E607-E607.doi:10.1016/j.ijrobp.2020.07.1847.
APA：
Wang, Q.,Lang, J.,Li, T.,Han, Y.,Peng, L....&Xiao, Z..(2020).CT Radiomics based on Machine Learning Predicting Pathologic Complete Response after Neoadjuvant Chemoradiotherapy for Esophageal Cancer.INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS,108,(3)
MLA：
Wang, Q.,et al."CT Radiomics based on Machine Learning Predicting Pathologic Complete Response after Neoadjuvant Chemoradiotherapy for Esophageal Cancer".INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS 108..3(2020):E607-E607
医学