Brain Tumor Segmentation Algorithm Based on Multi-scale Deep Learning Networks

doi:10.1109/CAC59555.2023.10451695

OPT OpenIR > 光谱成像技术研究室

	Brain Tumor Segmentation Algorithm Based on Multi-scale Deep Learning Networks
	Qiu, Shi1 ; Wang, Xin 2; Huang, Yao 3; Zhang, Benvue 4; Guo, Bolin 4
	2023
会议名称	2023 China Automation Congress, CAC 2023
会议录名称	Proceedings - 2023 China Automation Congress, CAC 2023
页码	7145-7150
会议日期	2023-11-17
会议地点	Chongqing, China
出版者	Institute of Electrical and Electronics Engineers Inc.
产权排序	1
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.
关键词	Brain Tumor Segmentation Multi-scale Deep Learning
作者部门	光谱成像技术研究室
DOI	10.1109/CAC59555.2023.10451695
收录类别	EI
ISBN号	9798350303759
语种	英语
EI入藏号	20241515853120
引用统计
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/97410
专题	光谱成像技术研究室
作者单位	1.Xi'An Institute of Optics and Precision Mechanics, CAS, Xi'an, China; 2.The First Hospital of xi'An Jiaotong University, Xi'an, China; 3.The Ninth Hospital of xi'An, Department of Oncology, Xi'an, China; 4.Xi'An Institute of Optics and Precision Mechanics, CAS University, Chinese Academy of Sciences, 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]:Institute of Electrical and Electronics Engineers Inc.,2023:7145-7150.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Brain Tumor Segmenta（660KB）	会议论文		限制开放	CC BY-NC-SA	请求全文