Research and Development of a Radiotherapy Contouring Software Based on Deep Learning
LUO Bangyu1
, WU Yajun2
, ZHOU Yibing1
, QIAN Jindong1
, ZHAO Lirong1
, CUI Tianxiang1
, ZHONG Liangzhi1,
LI Guanghui1
, SUN Jianguo1
1. Cancer Institute, The Second Affiliated Hospital of The Army Medical University, Chongqing 400037, China;
2. Yorktal Digital Medical Imaging Technology Co., Ltd, Shenzhen Guangdong 518048, China
Abstract：Objective To research and develop a deep learning-based radiotherapy contouring software (Yorktal-CS) independently,
which aims to improve the efficiency of contouring and improve the level of existing contouring software. Methods The basic
architecture of the software was developed using C ++ language. Based on the deep learning neural network technology, the function
of automatic contouring was developed and the software was verified and confirmed. Results We completed the development of
the radiotherapy contouring software, and repaired 16 software bugs. A set of software objects was obtained, which improved the
performance of the software. Conclusion This software has the advantages of convenience, rapidity and high efficiency, which can
improve the contouring efficiency of clinical radiotherapy and promote the development of homogeneous radiotherapy to a certain extent.
罗邦雨1
，伍亚军2
，周一兵1
，钱金栋1
，赵利荣1
，崔天祥1
，钟良志1
，李光辉1
，孙建国1. 一款基于深度学习的放疗轮廓勾画软件的研发[J]. 中国医疗设备, 2020, 35(7): 40-44.
LUO Bangyu1
, WU Yajun2
, ZHOU Yibing1
, QIAN Jindong1
, ZHAO Lirong1
, CUI Tianxiang1
, ZHONG Liangzhi1,
LI Guanghui1
, SUN Jianguo1. Research and Development of a Radiotherapy Contouring Software Based on Deep Learning. China Medical Devices, 2020, 35(7): 40-44.
