%0 Dataset
%T A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/e7281ad3-3543-4736-a507-f4b6ed981e46
%W NCDC
%R 10.12072/ncdc.imp.db2510.2023
%A Xiao Guoqing
%K Deep learning;radiation dose;patient specificity
%X Based on deep learning, a 3D dose distribution prediction method for patient specific radiotherapy plan is established in this paper, which can automatically generate the patient specific radiotherapy dose distribution. The prediction results can be used in the evaluation model based on tumor percentage dose coverage, volume dose of normal tissues and organs at risk as parameters to evaluate the advantages and disadvantages of dose distribution.