A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation

doi:10.1155/2020/9595687

HFCAS OpenIR

	A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation
	Tian, Zhiqiang 1; Song, Jingyi 1; Zhang, Chenyang 1; Tian, Xiaohui 1; Shi, Zhong 2,3; Yu, Xiaofu 2,3
	2020-08-03
发表期刊	WIRELESS COMMUNICATIONS & MOBILE COMPUTING
ISSN	1530-8669
通讯作者	Tian, Zhiqiang(zhiqiangtian@xjtu.edu.cn)
摘要	Accurate segmentation ofs organs-at-risk (OARs) in computed tomography (CT) is the key to planning treatment in radiation therapy (RT). Manually delineating OARs over hundreds of images of a typical CT scan can be time-consuming and error-prone. Deep convolutional neural networks with specific structures like U-Net have been proven effective for medical image segmentation. In this work, we propose an end-to-end deep neural network for multiorgan segmentation with higher accuracy and lower complexity. Compared with several state-of-the-art methods, the proposed accuracy-complexity adjustment module (ACAM) can increase segmentation accuracy and reduce the model complexity and memory usage simultaneously. An attention-based multiscale aggregation module (MAM) is also proposed for further improvement. Experiment results on chest CT datasets show that the proposed network achieves competitive Dice similarity coefficient results with fewer float-point operations (FLOPs) for multiple organs, which outperforms several state-of-the-art methods.
DOI	10.1155/2020/9595687
收录类别	SCI
语种	英语
资助项目	NSFC[61876148] ; Fundamental Research Funds for the Central Universities[XJJ2018254] ; China Postdoctoral Science Foundation[2018M631164]
项目资助者	NSFC ; Fundamental Research Funds for the Central Universities ; China Postdoctoral Science Foundation
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000562871300004
出版者	WILEY-HINDAWI
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/43126
专题	中国科学院合肥物质科学研究院
通讯作者	Tian, Zhiqiang
作者单位	1.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, Peoples R China 2.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou 310022, Peoples R China 3.Univ Chinese Acad Sci, Canc Hosp, Hangzhou 310022, Peoples R China
推荐引用方式 GB/T 7714	Tian, Zhiqiang,Song, Jingyi,Zhang, Chenyang,et al. A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation[J]. WIRELESS COMMUNICATIONS & MOBILE COMPUTING,2020,2020.
APA	Tian, Zhiqiang,Song, Jingyi,Zhang, Chenyang,Tian, Xiaohui,Shi, Zhong,&Yu, Xiaofu.(2020).A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation.WIRELESS COMMUNICATIONS & MOBILE COMPUTING,2020.
MLA	Tian, Zhiqiang,et al."A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation".WIRELESS COMMUNICATIONS & MOBILE COMPUTING 2020(2020).