TY  - Data
T1  - A feasibility study on an automated method to generate patient-specific dose distributions for radiotherapy using deep learning
A1  - Xiao Guoqing
DO  - 10.12072/ncdc.imp.db2510.2023
PY  - 2023
DA  - 2023-08-25
PB  - National Cryosphere Desert Data Center
AB  - 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.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/e7281ad3-3543-4736-a507-f4b6ed981e46
ER  -