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2021, Vol. 30(9): 917-923 DOI: 10.3760/cma.j.cn113030-20200409-00167 |
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Application of a multi-task learning-based light-weight convolution neural network for the automatic segmentation of organs at risk in thorax |
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Zhang Jie1, Yang Yiwei1, Shao Kainan1, Bai Xue1, Fang Min2, Shan Guoping1, Chen Ming2 |
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1Department of Radiation Physics, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022,China;
2Department of Radiation Oncology, The Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Hangzhou 310022,China |
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Received 2020-04-09 Revised null |
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Supporting info |
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