Brain Tumor Segmentation Algorithm Based on Multi-scale Deep Learning Networks
文献类型：会议论文
| 作者 | Qiu, Shi4 ; Wang, Xin3; Huang, Yao2; Zhang, Benvue1; Guo, Bolin1
|
| 出版日期 | 2023 |
| 会议日期 | 2023-11-17 |
| 会议地点 | Chongqing, China |
| 关键词 | Brain Tumor Segmentation Multi-scale Deep Learning |
| DOI | 10.1109/CAC59555.2023.10451695 |
| 页码 | 7145-7150 |
| 英文摘要 | Brain tumors seriously affect people's health, and the brain can be visualized by MRI, which provides the basis for physicians to accurately diagnose. Aiming at the problem that it is difficult to accurately segment brain tumors, a deep learning network is established to realize brain tumor segmentation. Firstly, according to the uncertainty of the region where the brain tumor is located, a multi-core convolutional model is constructed to obtain information at different scales. Then SP-Net is proposed, the constraint function is established and the brain tumor segmentation model is realized. © 2023 IEEE. |
| 产权排序 | 1 |
| 会议录 | Proceedings - 2023 China Automation Congress, CAC 2023
 |
| 会议录出版者 | Institute of Electrical and Electronics Engineers Inc. |
| 语种 | 英语 |
| ISBN号 | 9798350303759 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/97410]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Xi'An Institute of Optics and Precision Mechanics, CAS University, Chinese Academy of Sciences, Xi'an, China 2.The Ninth Hospital of xi'An, Department of Oncology, Xi'an, China; 3.The First Hospital of xi'An Jiaotong University, Xi'an, China; 4.Xi'An Institute of Optics and Precision Mechanics, CAS, Xi'an, China; |
| 推荐引用方式 GB/T 7714 | Qiu, Shi,Wang, Xin,Huang, Yao,et al. Brain Tumor Segmentation Algorithm Based on Multi-scale Deep Learning Networks[C]. 见:. Chongqing, China. 2023-11-17. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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