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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data"
14747 条 记 录,以下是291-300 订阅
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A Review of Deep Learning CT reconstruction from incomplete Projection data
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IEEE TRANSACTIONS ON RADIATION AND PLASMA MEDICAL SCIENCES 2024年 第2期8卷 138-152页
作者: Wang, Tao Xia, Wenjun Lu, Jingfeng Zhang, Yi Sichuan Univ Coll Comp Sci Chengdu 610065 Peoples R China Sichuan Univ Key Lab Data Protect & Intelligent Management Minist Educ Chengdu 610207 Peoples R China Sichuan Univ Sch Cyber Sci & Engn Chengdu 610065 Peoples R China
Computed tomography (CT) is a widely used imaging technique in both medical and industrial applications. However, accurate CT reconstruction requires complete projection data, while incomplete data can result in signi... 详细信息
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Reduced iteration image reconstruction of incomplete projection CT using regularization strategy through Lp norm dictionary learning
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JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2019年 第3期27卷 559-572页
作者: Gou, Junnian Wu, Xiaoyuan Dong, Haiying Lanzhou Jiaotong Univ Sch Automat & Elect Engn Lanzhou 730070 Gansu Peoples R China Lanzhou Jiaotong Univ Minist Educ Key Lab Optotechnol & Intelligent Control Lanzhou Gansu Peoples R China Lanzhou Jiaotong Univ Rail Transit Elect Automat Engn Lab Gansu Prov Lanzhou Gansu Peoples R China Lanzhou Jiaotong Univ Sch New Energy & Power Engn Lanzhou Gansu Peoples R China
BACKGROUND: For sparse and limited angle projection Computed Tomography (CT), the reconstructed image usually suffers from considerable artifacts due to undersampled data. OBJECTIVE: To improve image reconstruction qu... 详细信息
来源: 评论
INTEREST POINT DETECTION ON incomplete imageS
INTEREST POINT DETECTION ON INCOMPLETE IMAGES
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15th IEEE International conference on image Processing (ICIP 2008)
作者: Kerr, Dermot Scotney, Bryan Coleman, Sonya Univ Ulster Sch Comp & Intelligent Syst Magee BT48 7JL North Ireland Univ Ulster Sch Comp & Informat Engn Coleraine BT52 1SA Londonderry North Ireland
Use of incomplete image data has become a prominent research issue in recent years, driven by the development of space variant image sensors. Whilst image reconstruction techniques have been developed that enable the ... 详细信息
来源: 评论
Digitization and Classification of Electrocardiograms for Automated Cardiovascular Disease Diagnosis Using Machine Learning and Deep Learning Models
Digitization and Classification of Electrocardiograms for Au...
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Ambient Intelligence in Health Care (ICAIHC), International conference on
作者: Shivangi Diwan Neeraj Yadu Devendra Singh Manas Chilamwar Mridu Sahu Department of Information Technology National Institute of Technology Raipur India
Electrocardiograms (ECG) enable the straightforward identification of cardiovascular diseases (CVD). However, the complexity of ECG graphs often challenges physicians in making precise and confident diagnoses. This st... 详细信息
来源: 评论
大数据在旅游研究中的应用:研究回顾与未来展望
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旅游科学 2025年 第1期39卷 1-23页
作者: 刘俊 余云云 胡思可 李潇涵 何默其 四川大学灾后重建与管理学院 四川成都610207 四川大学旅游学院 四川成都610207
系统地回顾大数据在旅游研究中的应用,对于理解旅游研究范式的转型,响应新涌现的科学问题和实践应用问题具有重要意义。对Web of Science、Archive和中国知网3个数据库中的2477篇旅游大数据文献进行了综述。研究发现:(1)从2010年开始,... 详细信息
来源: 评论
Support estimation for phase retrieval image reconstruction from sparse-aperture interferometry data
Support estimation for phase retrieval image reconstruction ...
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conference on image reconstruction from incomplete data VII
作者: DeSantis, Zachary J. Fienup, James R. Univ Rochester Inst Opt Rochester NY 14627 USA
Imaging interferometry suffers from sparse Fourier measurements, and, at the visible wavelengths, a lack of phase information, creating a need for an image reconstruction algorithm. A support constraint is useful for ... 详细信息
来源: 评论
3-D signal reconstruction from noisy projection data for stochastic objects as a generalization of Gaussian mixture parameter estimation
3-D signal reconstruction from noisy projection data for sto...
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conference on image reconstruction from incomplete data VI
作者: Zheng, Yili Doerschuk, Peter C. Univ Calif Berkeley Lawrence Berkeley Lab Computat Res Div Berkeley CA 94720 USA
A statistical estimation problem for determining 3-D reconstructions from a single 2-D projection image of each of multiple objects when the objects are heterogeneous is described. The method is based on a Gaussian mi... 详细信息
来源: 评论
Bi-dictionary learning model for medical image reconstruction from undersampled data
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IET image PROCESSING 2020年 第10期14卷 2130-2139页
作者: Mohaoui, Souad Hakim, Abdelilah Raghay, Said Univ Cadi Ayyad Fac Sci & Tech Gueliz Math & Comp Sci Dept Marrakech Morocco
In recent years, dictionary learning has shown to be an efficient tool in recovering images from their degraded, damaged or incomplete version. Especially, for medical images that contain significant details and chara... 详细信息
来源: 评论
Multigrid Bayesian methods for optical diffusion tomography
Multigrid Bayesian methods for optical diffusion tomography
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conference on image reconstruction from incomplete data
作者: Millane, RP Ye, JC Bouman, CA Webb, KJ Purdue Univ Computat Sci & Engn Program W Lafayette IN 47907 USA
Optical diffusion imaging is a new imaging modality that promises great potential in applications such as medical imaging, environmental sensing and nondestructive testing. It presents a difficult nonlinear image reco... 详细信息
来源: 评论
image reconstruction by Phase Retrieval with Transverse Translation Diversity
Image Reconstruction by Phase Retrieval with Transverse Tran...
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conference on image reconstruction from incomplete data V
作者: Guizar-Sicairos, Manuel Fienup, James R. Univ Rochester Inst Opt Rochester NY 14627 USA
Measuring a series of far-field intensity patterns from an object, taken after a, transverse translation of the object with respect to a known illumination pattern, has been shown to make the problem of image reconstr... 详细信息
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