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检索条件"机构=Center of Signal and Image Processing School of Electrical and Computer Engineering"
411 条 记 录,以下是131-140 订阅
排序:
Deep learning methods for lung cancer segmentation in whole-slide histopathology images - The ACDC@lungHP challenge 2019
arXiv
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arXiv 2020年
作者: Li, Zhang Zhang, Jiehua Tan, Tao Teng, Xichao Sun, Xiaoliang Li, Yang Liu, Lihong Xiao, Yang Lee, Byungjae Li, Yilong Zhang, Qianni Sun, Shujiao Zheng, Yushan Yan, Junyu Li, Ni Hong, Yiyu Ko, Junsu Jung, Hyun Liu, Yanling Chen, Yu-Cheng Wang, Ching-Wei Yurovskiy, Vladimir Maevskikh, Pavel Khanagha, Vahid Jiang, Yi Feng, Xiangjun Liu, Zhihong Li, Daiqiang Schüffler, Peter J. Yu, Qifeng Chen, Hui Tang, Yuling Litjens, Geert College of Aerospace Science and Engineering National University of Defense Technology Changsha410073 China Department of Mathematics and Computer Science Eindhoven University of Technology Netherlands and ScreenPoint Medical Eindhoven Nijmegen5600 MB Netherlands Pingan Technology Shenzhen China Lunit Inc. Seoul Korea Republic of School of Electrical Engineering and Computer Science Queen Mary University of London London United Kingdom Image Processing Center School of Astronautics Beihang University Beijing102206 China Beijing Advanced Innovation Center for Biomedical Engineering Beijing100191 China Beijing Advanced Innovation Center for Biomedical Engineering Beihang University Image Processing Center School of Astronautics Beihang University Beijing102206 China AstLab School of Automatationm Beihang University Beijing China Department of R&D Center Arontier Co. Ltd. Seoul Korea Republic of Frederick National Laboratory United States Center of Computer Vision and Medical Imaging Graduate Institute of Biomedical Engineering Graduate institute of Applied Science and Technology National Taiwan University of Science and Technology AI Explore Taipei Taiwan Research Department Sky-chain Global Yekaterinburg Russia Audio Solutions Team Motorola Solutions Inc. PlantationFL United States Second Xiangya Hospital Central South University Changsha China Hunan Biotechnology Ltd. Changsha China Hunan Cancer Hospital Central South University Changsha China Memorial Sloan Kettering Cancer Center United States First Hospital of Changsha City Changsha China Radboud University Medical Center Nijmegen Netherlands
Accurate segmentation of lung cancer in pathology slides is a critical step in improving patient care. We proposed the ACDC@LungHP (Automatic Cancer Detection and Classification in Whole-slide Lung Histopathology) cha... 详细信息
来源: 评论
MS-UNIQUE: Multi-model and sharpness-weighted unsupervised image quality estimation
arXiv
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arXiv 2018年
作者: Prabhushankar, Mohit Temel, Dogancan AlRegib, Ghassan Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States
In this paper, we train independent linear decoder models to estimate the perceived quality of images. More specifically, we calculate the responses of individual non-overlapping image patches to each of the decoders ... 详细信息
来源: 评论
Generating adaptive and robust filter sets using an unsupervised learning framework
arXiv
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arXiv 2018年
作者: Prabhushankar, Mohit Temel, Dogancan AlRegib, Ghassan Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA United States
In this paper, we introduce an adaptive unsupervised learning framework, which utilizes natural images to train filter sets. The applicability of these filter sets is demonstrated by evaluating their performance in tw... 详细信息
来源: 评论
Quality Inspection of Phalaenopsis Hybrids Using Hyperspectral Band Selection Techniques
Quality Inspection of Phalaenopsis Hybrids Using Hyperspectr...
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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
作者: Yen-Chieh Ouyang Bo-Han Chen Meng-Chueh Lee Tsang-Sen Liu Mang Ou-Yang Hsian-Min Chen Chao-Cheng Wu Chia-Hsien Wen Min-Shao Shih Chein-I Chang Yung-Jhe Yan Department of Electrical Engineering National Chung Hsing University Taiwan Institute of communication Engineering National Chung Hsing University Taiwan Taiwan Agriculture Research Institute Nantou Taiwan Department of Electrical and Computer Engineering National Chiao-Tung University Hsinchu City Taiwan Center for Quantitative Imaging in Medicine Taichung Veterans General Hospital Taiwan Department of Electrical Engineering National Taipei University of Technology Taipei Taiwan Department of Computer Science and Information Management Providence University Taiwan Remote Sensing Signal and Image Processing Laboratory University of Maryland Baltimore MD USA
Fusarium wilt on Phalaenopsis is a disease that makes farmers suffer seriously. Although Phalaenopsis does not die immediately with Fusarium wilt, it seriously decreases the quality that buyers cannot accept. In this ... 详细信息
来源: 评论
UNIQUE: Unsupervised image quality estimation
arXiv
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arXiv 2018年
作者: Temel, Dogancan Prabhushankar, Mohit Alregib, Ghassan Center for Signal and Information Processing Georgia Institute of Technology School of Electrical and Computer Engineering AtlantaGA30332 United States
In this paper, we estimate perceived image quality using sparse representations obtained from generic image databases through an unsupervised learning approach. A color space transformation, a mean subtraction, and a ... 详细信息
来源: 评论
CSV: image quality assessment based on color, structure, and visual system
arXiv
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arXiv 2018年
作者: Temel, Dogancan AlRegib, Ghassan Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States
This paper presents a full-reference image quality estimator based on color, structure, and visual system characteristics denoted as CSV. In contrast to the majority of existing methods, we quantify perceptual color d... 详细信息
来源: 评论
Perceptual image quality assessment through spectral analysis of error representations
arXiv
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arXiv 2018年
作者: Temel, Dogancan AlRegib, Ghassan Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States
In this paper, we analyze the statistics of error signals to assess the perceived quality of images. Specifically, we focus on the magnitude spectrum of error images obtained from the difference of reference and disto... 详细信息
来源: 评论
AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study
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The Lancet. Digital health 2025年 第5期7卷 100862页
作者: Jirong Yi Anna M Marcinkiewicz Aakash Shanbhag Robert J H Miller Jolien Geers Wenhao Zhang Aditya Killekar Nipun Manral Mark Lemley Mikolaj Buchwald Jacek Kwiecinski Jianhang Zhou Paul B Kavanagh Joanna X Liang Valerie Builoff Terrence D Ruddy Andrew J Einstein Attila Feher Edward J Miller Albert J Sinusas Daniel S Berman Damini Dey Piotr J Slomka Departments of Medicine (Division of Artificial Intelligence in Medicine) Biomedical Sciences and Imaging Cedars-Sinai Medical Center Los Angeles CA USA. Departments of Medicine (Division of Artificial Intelligence in Medicine) Biomedical Sciences and Imaging Cedars-Sinai Medical Center Los Angeles CA USA Center of Radiological Diagnostics National Medical Institute of the Ministry of the Interior and Administration Warsaw Poland. Signal and Image Processing Institute Ming Hsieh Department of Electrical and Computer Engineering University of Southern California Los Angeles CA USA. Department of Cardiac Sciences University of Calgary Calgary AB Canada. Department of Cardiology Centrum voor Hart-en Vaatziekten (CHVZ) Universitair Ziekenhuis Brussel (UZ Brussel) Vrije Universiteit Brussel (VUB) Brussels Belgium. Department of Interventional Cardiology and Angiology Institute of Cardiology Warsaw Poland. Division of Cardiology University of Ottawa Heart Institute Ottawa ON Canada. Division of Cardiology Department of Medicine and Department of Radiology Columbia University Irving Medical Center and New York-Presbyterian Hospital New York NY USA. Section of Cardiovascular Medicine Department of Internal Medicine Yale University School of Medicine New Haven CT USA. Departments of Medicine (Division of Artificial Intelligence in Medicine) Biomedical Sciences and Imaging Cedars-Sinai Medical Center Los Angeles CA USA. Electronic address: piotr.slomka@***.
BACKGROUND:CT attenuation correction (CTAC) scans are routinely obtained during cardiac perfusion imaging, but currently only used for attenuation correction and visual calcium estimation. We aimed to develop a novel ...
来源: 评论
Granular Computing: An Augmented Scheme of Degranulation Through a Modified Partition Matrix
arXiv
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arXiv 2020年
作者: Xu, Kaijie Pedrycz, Witold Li, Zhiwu Xing, Mengdao School of Electro-Mechanical Engineering Xidian University Xi’an710071 China Department of remote sensing science and technology School of Electronic Engineering Xidian University Xi’an710071 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6R 2V4 Canada Systems Research Institute Polish Academy of Sciences Warsaw Poland Faculty of Engineering King Abdulaziz University Jeddah21589 Saudi Arabia Institute of Systems Engineering Macau University of Science and Technology Macau999078 China National Laboratory of Radar Signal Processing Xidian University Xi’an710071 China Collaborative Innovation Center of Information Sensing and Understanding Xidian University Xi’an710071 China National Key Laboratory of Microwave Imaging Technology Institute of Electronics Chinese Academy of Sciences Beijing100190 China
As an important technology in artificial intelligence Granular Computing (GrC) has emerged as a new multi-disciplinary paradigm and received much attention in recent years. Information granules forming an abstract and... 详细信息
来源: 评论
Boosting in image quality assessment
arXiv
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arXiv 2018年
作者: Temel, Dogancan AlRegib, Ghassan Center for Signal and Information Processing School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332-0250 United States
In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimator. On the contrary, we investigate th... 详细信息
来源: 评论