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检索条件"机构=Department of Pattern Recognition and Image Processing"
382 条 记 录,以下是121-130 订阅
排序:
3D RoI-aware U-net for accurate and efficient colorectal tumor segmentation
arXiv
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arXiv 2018年
作者: Huang, Yi-Jie Dou, Qi Wang, Zi-Xian Liu, Li-Zhi Jin, Ying Li, Chao-Feng Wang, Lisheng Chen, Hao Xu, Rui-Hua Institute of Image Processing and Pattern Recognition Department of Automation Shanghai Jiao Tong University China Imsight Medical Technology Co. Ltd. China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Sun Yat-sen University Cancer Center State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Guangzhou China
Segmentation of colorectal cancerous regions from 3D Magnetic Resonance (MR) images is a crucial procedure for radiotherapy which conventionally requires accurate delineation of tumour boundaries at an expense of labo... 详细信息
来源: 评论
A novel color image encryption algorithm based on genetic recombination and the four-dimensional memristive hyperchaotic system
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Chinese Physics B 2016年 第10期25卷 76-88页
作者: 柴秀丽 甘志华 路杨 张苗辉 陈怡然 School of Computer and Information Engineering Institute of Image Processing and Pattern Recognition Henan University Department of Electrical and Computer Engineering University of Pittsburgh School of Software Henan University Research Department Henan University
Recently, many image encryption algorithms based on chaos have been proposed. Most of the previous algorithms encrypt components R, G, and B of color images independently and neglect the high correlation between them.... 详细信息
来源: 评论
Generalization Properties of hyper-RKHS and its Applications
arXiv
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arXiv 2018年
作者: Liu, Fanghui Shi, Lei Huang, Xiaolin Yang, Jie Suykens, Johan A.K. Department of Electrical Engineering ESAT-STADIUS KU Leuven Kasteelpark Arenberg 10 LeuvenB-3001 Belgium Shanghai Key Laboratory for Contemporary Applied Mathematics School of Mathematical Sciences Fudan University Shanghai200433 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Institute of Medical Robotics Shanghai Jiao Tong University Shanghai200240 China
This paper generalizes regularized regression problems in a hyper-reproducing kernel Hilbert space (hyper-RKHS), illustrates its utility for kernel learning and out-of-sample extensions, and proves asymptotic converge... 详细信息
来源: 评论
Edgy salient local binary patterns in inter-plane relationship for image retrieval in Diabetic Retinopathy
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Procedia Computer Science 2017年 115卷 440-447页
作者: Gajanan M. Galshetwar Laxman M. Waghmare Anil B. Gonde Subrahmanyam Murala Center of Excellence in Signal and Image Processing (COESIP) Department of ECE SGGSIET Nanded Maharashtra 431606 India Computer Vision and Pattern Recognition Laboratory Department of Electrical Engineering IIT Ropar Rupnagar 140001 India
In this paper, a novel approach for content based image retrieval (CBIR) in diabetic retinopathy (DR) is proposed. The concept of salient point selection and inter-plane relationship technique is used. Salient points ... 详细信息
来源: 评论
Scale-space anisotropic total variation for limited angle tomography
arXiv
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arXiv 2017年
作者: Huang, Yixing Taubmann, Oliver Huang, Xiaolin Haase, Viktor Lauritsch, Guenter Maier, Andreas Pattern Recognition Lab Friedrich-Alexander-University Erlangen-Nuremberg Erlangen Germany Pattern Recognition Lab FriedrichAlexander-University Erlangen-Nuremberg Erlangen Germany Erlangen Germany Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Siemens Healthcare GmbH Forchheim Germany Department of Radiology University of Utah Salt Lake CityUT United States
This paper addresses streak reduction in limited angle tomography. Although the iterative reweighted total variation (wTV) algorithm reduces small streaks well, it is rather inept at eliminating large ones since total... 详细信息
来源: 评论
Nonconvex penalties with analytical solutions for one-bit compressive sensing
arXiv
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arXiv 2017年
作者: Huang, Xiaolin Yan, Ming Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University MOE Key Laboratory of System Control and Information Processing Shanghai200240 China Department of Computational Mathematics Science and Engineering Department of Mathematics Michigan State University East LansingMI48824 United States
One-bit measurements widely exist in the real world and can be used to recover sparse signals. This task is known as one-bit compressive sensing (1bit-CS). In this paper, we propose novel algorithms based on both conv... 详细信息
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Cerebral ASL, SPECT and MRI image registration, enhancing fusion and joint analysis system
Cerebral ASL, SPECT and MRI image registration, enhancing fu...
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2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)
作者: Ye Liu Yang Wang Lisheng Wang Shaoli Song Institute of Image Processing and Pattern Recognition Department of AutomationShanghai Jiao Tong University Department of Nuclear Medicine Ren Ji HospitalSchool of MedicineShanghai Jiao tong University
There is no technique to do a joint analysis of Arterial Spin Labeling(ASL),Single Photon Emission Computed Tomography(SPECT) and Magnetic Resonance Imaging(MRI) *** this paper,we propose a method to realize multimoda... 详细信息
来源: 评论
CT image Based 3D Orbital Prosthesis Model Construction Method
CT Image Based 3D Orbital Prosthesis Model Construction Meth...
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2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)
作者: Chunyuan Xu Shuang Li Lisheng Wang Caiwen Xiao Institute of Image Processing and Pattern Recognition Department of AutomationShanghai Jiao Tong University Department of Ophthalmology Ninth People's HospitalSchool of MedicineShanghai Jiao Tong University
To solve the clinical problem of constructing an aesthetic and appropriate orbital prosthesis model,two methods based on volume cutting and surface cutting respectively are proposed in this *** spline interpolation,re... 详细信息
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Mixed one-bit compressive sensing with application to overexposure correction for CT reconstruction
arXiv
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arXiv 2017年
作者: Huang, Xiaolin Xia, Yan Shi, Lei Huang, Yixing Yan, Ming Hornegger, Joachim Maier, Andreas Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Radiology Stanford University CA United States School of Mathematical Sciences Fudan University Shanghai China Pattern Recognition Lab of Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Computational Mathematics Science and Engineering Michigan State University MI United States
When a measurement falls outside the quantization or measurable range, it becomes saturated and cannot be used in classical reconstruction methods. For example, in C-arm angiography systems, which provide projection r... 详细信息
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Robust Face recognition via Low-rank Sparse Representation-based Classification
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International Journal of Automation and computing 2015年 第6期12卷 579-587页
作者: Hai-Shun Du Qing-Pu Hu Dian-Feng Qiao Ioannis Pitas Institute of Image Processing and Pattern Recognition Henan University Department of Informatics Aristotle University of Thessaloniki
Face recognition has attracted great interest due to its importance in many real-world applications. In this paper,we present a novel low-rank sparse representation-based classification(LRSRC) method for robust face r... 详细信息
来源: 评论