A method of using deep learning to predict three-dimensional dose distributions for intensity-modulated radiotherapy of rectal cancer.

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作者： Jieping,Zhou ^[1] ; Zhao,Peng ^[2] ; Yuchen,Song ^[3] ; Yankui,Chang ^[3] ; Xi,Pei ^[3] ; Liusi,Sheng ^[3] ; X George,Xu ^[4]

作者单位： Department of Radiation Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China. ^[1] National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, Anhui, China. ^[2] Department of Engineering and Applied Physics, School of Physics, University of Science and Technology of China, Hefei, Anhui, China. ^[3] Anhui Wisdom Technology Company Limited, Hefei, Anhui, China. ^[4] Nuclear and Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA. ^[5]

关键词 3D deep learning architecture IMRT dose prediction rectal cancer

主题词人类(Humans);放射治疗剂量(Radiotherapy Dosage);放射治疗计划, 计算机辅助(Radiotherapy Planning, Computer-Assisted);放射疗法, 调强适形(Radiotherapy, Intensity-Modulated);直肠肿瘤(Rectal Neoplasms)

DOI 10.1002/acm2.12849

PMID 32281254

发布时间 2021-06-21

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准确一般字义偏差语意偏离译文作用小提交