• Corpus ID: 44078131

RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection

@article{Lan2018RUNRU,
  title={RUN: Residual U-Net for Computer-Aided Detection of Pulmonary Nodules without Candidate Selection},
  author={Tian Lan and Yuanyuan Li and Jonah Kimani Murugi and Yi Ding and Zhiguang Qin},
  journal={ArXiv},
  year={2018},
  volume={abs/1805.11856}
}
The early detection and early diagnosis of lung cancer are crucial to improve the survival rate of lung cancer patients. Pulmonary nodules detection results have a significant impact on the later diagnosis. In this work, we propose a new network named RUN to complete nodule detection in a single step by bypassing the candidate selection. The system introduces the shortcut of the residual network to improve the traditional U-Net, thereby solving the disadvantage of poor results due to its lack… 

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