Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network

doi:10.1142/S0219843619500154

	Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network
	Wang, Xiaoyan 1; Zhong, Xingyu 1; Xia, Ming 1; Jiang, Weiwei 1; Huang, Xiaojie 2; Gu, Zheng 2; Huang, Xiangsheng3
发表期刊	INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
ISSN	0219-8436
	2019-08-01
卷号	16 期号:4 页码:17
通讯作者	Wang, Xiaoyan(xiaoyanwang@zjut.edu.cn)
摘要	Localization of vessel Region of Interest (ROI) from medical images provides an interactive approach that can assist doctors in evaluating carotid artery diseases. Accurate vessel detection is a prerequisite for the following procedures, like wall segmentation, plaque identification and 3D reconstruction. Deep learning models such as CNN have been widely used in medical image processing, and achieve state-of-the-art performance. Faster R-CNN is one of the most representative and successful methods for object detection. Using outputs of feature maps in different layers has been proved to be a useful way to improve the detection performance, however, the common method is to ensemble outputs of different layers directly, and the special characteristic and different importance of each layer haven't been considered. In this work, we introduce a new network named Attention Layer R-CNN(AL R-CNN) and use it for automatic carotid artery detection, in which we integrate a new module named Attention Layer Part (ALP) into a basic Faster R-CNN system for better assembling feature maps of different layers. Experimental results on carotid dataset show that our method surpasses other state-of-the-art object detection systems.
关键词	Object detection convolutional neural networks ensemble feature maps
DOI	10.1142/S0219843619500154
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of Zhejiang Province[LY18F030019] ; Natural Science Foundation of Zhejiang Province[LY18F020030] ; National Natural Science Foundation of China[11302195] ; National Natural Science Foundation of China[61401397] ; National Natural Science Foundation of China[61701442] ; National Natural Science Foundation of China[61573356] ; Research Program of Department of Science and Technology of Zhejiang Province[LGF19H180019] ; Natural Science Foundation of Zhejiang Province[LY18F030019] ; Natural Science Foundation of Zhejiang Province[LY18F020030] ; National Natural Science Foundation of China[11302195] ; National Natural Science Foundation of China[61401397] ; National Natural Science Foundation of China[61701442] ; National Natural Science Foundation of China[61573356] ; Research Program of Department of Science and Technology of Zhejiang Province[LGF19H180019]
项目资助者	Natural Science Foundation of Zhejiang Province ; National Natural Science Foundation of China ; Research Program of Department of Science and Technology of Zhejiang Province
WOS研究方向	Robotics
WOS类目	Robotics
WOS记录号	WOS:000488067600011
出版者	WORLD SCIENTIFIC PUBL CO PTE LTD
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/26640
专题	复杂系统认知与决策实验室_决策指挥与体系智能
通讯作者	Wang, Xiaoyan
作者单位	1.Zhejiang Univ Technol, Sch Comp Sci & Technol, Hangzhou 310023, Zhejiang, Peoples R China 2.Zhejiang Univ, Affiliated Hosp 2, Sch Med, Hangzhou 310009, Zhejiang, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Wang, Xiaoyan,Zhong, Xingyu,Xia, Ming,et al. Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network[J]. INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS,2019,16(4):17.
APA	Wang, Xiaoyan.,Zhong, Xingyu.,Xia, Ming.,Jiang, Weiwei.,Huang, Xiaojie.,...&Huang, Xiangsheng.(2019).Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network.INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS,16(4),17.
MLA	Wang, Xiaoyan,et al."Automatic Carotid Artery Detection Using Attention Layer Region-Based Convolution Neural Network".INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS 16.4(2019):17.