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

文献类型：期刊论文

作者Wang, Xiaoyan1; Zhong, Xingyu1; Xia, Ming1; Jiang, Weiwei1; Huang, Xiaojie2; Gu, Zheng2; Huang, Xiangsheng3
刊名INTERNATIONAL JOURNAL OF HUMANOID ROBOTICS
出版日期2019-08-01
卷号16期号:4页码:17
关键词Object detection convolutional neural networks ensemble feature maps
ISSN号0219-8436
DOI10.1142/S0219843619500154
通讯作者Wang, Xiaoyan(xiaoyanwang@zjut.edu.cn)
英文摘要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.
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]
WOS研究方向Robotics
语种英语
WOS记录号WOS:000488067600011
出版者WORLD SCIENTIFIC PUBL CO PTE LTD
资助机构Natural Science Foundation of Zhejiang Province ; National Natural Science Foundation of China ; Research Program of Department of Science and Technology of Zhejiang Province
源URL[http://ir.ia.ac.cn/handle/173211/26639]  
专题融合创新中心_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.

入库方式： OAI收割

来源：自动化研究所

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