,

Shunyao Luan1, Jun Ou-Yang1, Xiaofei Yang1

  • 1School of Integrated Circuits, Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, People's Republic of China.

PubMed
概括

本研究引入了一种新的轮质量保证和自适应优化 (CQA-AO) 策略,用于自动纠正深度学习生成的风险器官 (OAR) 细分在放射治疗中的错误. 该CQA-AO策略显著提高了轮精度,并简化了临床工作流程.

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