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

doi:10.1155/2020/9595687

	A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation
	Tian, Zhiqiang 2; Song, Jingyi 2; Zhang, Chenyang 2; Tian, Xiaohui 2; Shi, Zhong 1,3; Yu, Xiaofu 1,3
刊名	WIRELESS COMMUNICATIONS & MOBILE COMPUTING
	2020-08-03
卷号	2020
ISSN号	1530-8669
DOI	10.1155/2020/9595687
通讯作者	Tian, Zhiqiang(zhiqiangtian@xjtu.edu.cn)
英文摘要	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.
资助项目	NSFC[61876148] ; Fundamental Research Funds for the Central Universities[XJJ2018254] ; China Postdoctoral Science Foundation[2018M631164]
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	WILEY-HINDAWI
WOS记录号	WOS:000562871300004
资助机构	NSFC ; Fundamental Research Funds for the Central Universities ; China Postdoctoral Science Foundation
内容类型	期刊论文
源URL	[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.Chinese Acad Sci, Inst Canc & Basic Med ICBM, Hangzhou 310022, Peoples R China 2.Xi An Jiao Tong Univ, Sch Software Engn, Xian 710049, 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).