咨询与建议

限定检索结果

文献类型

  • 286 篇 会议
  • 56 篇 期刊文献

馆藏范围

  • 342 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 165 篇 工学
    • 82 篇 计算机科学与技术...
    • 69 篇 软件工程
    • 44 篇 光学工程
    • 36 篇 机械工程
    • 31 篇 生物医学工程(可授...
    • 23 篇 信息与通信工程
    • 20 篇 控制科学与工程
    • 19 篇 电气工程
    • 19 篇 电子科学与技术(可...
    • 17 篇 生物工程
    • 16 篇 仪器科学与技术
    • 9 篇 力学(可授工学、理...
    • 4 篇 材料科学与工程(可...
    • 4 篇 土木工程
    • 4 篇 交通运输工程
    • 3 篇 建筑学
    • 3 篇 核科学与技术
  • 87 篇 理学
    • 46 篇 物理学
    • 37 篇 数学
    • 16 篇 生物学
    • 14 篇 统计学(可授理学、...
    • 3 篇 系统科学
    • 2 篇 化学
  • 22 篇 医学
    • 21 篇 临床医学
    • 10 篇 基础医学(可授医学...
    • 9 篇 药学(可授医学、理...
  • 16 篇 管理学
    • 9 篇 管理科学与工程(可...
    • 8 篇 图书情报与档案管...
  • 9 篇 艺术学
    • 9 篇 设计学(可授艺术学...
  • 2 篇 法学
    • 2 篇 社会学
  • 1 篇 经济学
  • 1 篇 农学

主题

  • 83 篇 computer vision
  • 67 篇 image processing
  • 63 篇 image segmentati...
  • 57 篇 shape
  • 41 篇 laboratories
  • 34 篇 cameras
  • 28 篇 computed tomogra...
  • 25 篇 image reconstruc...
  • 20 篇 level set
  • 20 篇 layout
  • 19 篇 pixel
  • 17 篇 biomedical imagi...
  • 16 篇 feature extracti...
  • 16 篇 robustness
  • 14 篇 magnetic resonan...
  • 14 篇 three dimensiona...
  • 14 篇 parameter estima...
  • 12 篇 humans
  • 12 篇 shape measuremen...
  • 12 篇 labeling

机构

  • 73 篇 computer vision ...
  • 25 篇 university of ch...
  • 24 篇 shenyang institu...
  • 18 篇 computer vision ...
  • 13 篇 institutes for r...
  • 13 篇 computer vision ...
  • 9 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 8 篇 key laboratory o...
  • 7 篇 computer vision ...
  • 7 篇 key lab of image...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...
  • 6 篇 the key lab of i...
  • 6 篇 computer vision ...
  • 6 篇 computer vision ...
  • 5 篇 kentucky imaging...
  • 5 篇 image analysis i...
  • 5 篇 key laboratory o...

作者

  • 52 篇 aly a. farag
  • 41 篇 a.a. farag
  • 28 篇 farag aly a.
  • 22 篇 e.j. delp
  • 15 篇 aly farag
  • 15 篇 a. farag
  • 13 篇 asem ali
  • 9 篇 melih s. aslan
  • 9 篇 hossam abdelmuni...
  • 9 篇 farag aly
  • 8 篇 s.m. yamany
  • 8 篇 el-baz ayman
  • 8 篇 salwa elshazly
  • 7 篇 ben arnold
  • 7 篇 yongsheng gao
  • 6 篇 mostafa abdelrah...
  • 6 篇 luo haibo
  • 6 篇 m.s. hassouna
  • 6 篇 shireen elhabian
  • 6 篇 asem m. ali

语言

  • 334 篇 英文
  • 4 篇 其他
  • 4 篇 中文
检索条件"机构=Laboratory for Computer Vision and Image Processing"
342 条 记 录,以下是1-10 订阅
排序:
Inspection Method of Track Facilities Using image Analysis of images Taken from Front of Trains
收藏 引用
Quarterly Report of RTRI (Railway Technical Research Institute) 2023年 第3期64卷 205-210页
作者: Nagamine, Nozomi Goda, Wataru Maeda, Riho Tsubokawa, Yosuke Kato, So Itoi, Kensuke Head of Image Analysis Laboratory Information and Communication Technology Division Research Areas: Computer Vision Image Processing Signalling Systems Japan Image Analysis Laboratory Information and Communication Technology Division Research Areas: Computer Vision Image Processing Japan Head of Track Geometry and Maintenance Laboratory Track Technology Division Research Areas: Track Measuring Japan Track Geometry and Maintenance Laboratory Track Technology Division Research Areas: Track Measuring Japan Research Areas: Track Measuring Japan
Appropriate maintenance of tracks is vital for the safe operation of railways. Properly managing track facilities is necessary to prevent buckling of rails. Changes in society are creating a shortage of workers, a dec... 详细信息
来源: 评论
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
收藏 引用
Intelligent Medicine 2024年 第3期4卷 170-176页
作者: Bijan Roudini Boshra Khajehpiri Hamid Abrishami Moghaddam Mohamad Forouzanfar Department of Systems Engineering School of Advanced TechnologyUniversity of QuebecMontrealCanada Machine Vision and Medical Image Processing(MVMIP)Laboratory Faculty of Electrical and Computer EngineeringK.N.Toosi University of TechnologyTehranIran Research Center of the Montreal University Institute of Geriatrics MontrealCanada
Background Precise estimation of current and future comorbidities of patients with cardiovascular disease is an important factor in prioritizing continuous physiological monitoring and new *** learning(ML)models have ... 详细信息
来源: 评论
image saliency detection method based on multi-feature maps fusion  4
Image saliency detection method based on multi-feature maps ...
收藏 引用
4th International Conference on computer Graphics, image, and Virtualization, ICCGIV 2024
作者: Li, Xiaoli Liu, Yunpeng Zhao, Huaici Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Opto-Electronic Information Processing Shenyang China The Key Lab of Image Understanding and Computer Vision Shenyang China Shenyang Jianzhu University Shenyang China
In this research, we introduce an innovative saliency detection algorithm, comprising three essential steps. Firstly, leveraging fully convolutional networks with aggregation interaction modules, we generate an initia... 详细信息
来源: 评论
Colorectal Polyps Detection in Virtual Colonoscopy Using 3D Geometric Features and Deep Learning
Colorectal Polyps Detection in Virtual Colonoscopy Using 3D ...
收藏 引用
IEEE International Symposium on Biomedical Imaging
作者: Mohamed Yousuf Samir Harb Islam Alkabbany Asem Ali Salwa Elshazley Aly Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY Faculty of Engineering Ain Shams University Cairo Egypt Higher Technological Institute 10th of Ramadan City Egypt Kentucky Imaging Technologies Louisville KY
Early diagnosis of colorectal polyps, before they turn into cancer, is one of the main keys for treatment. In this work, we propose a framework to help radiologists in identifying polyp candidates using virtual colono... 详细信息
来源: 评论
Fast Candidate Region Extraction for SAR Ship Target  37
Fast Candidate Region Extraction for SAR Ship Target
收藏 引用
37th Youth Academic Annual Conference of Chinese Association of Automation, YAC 2022
作者: Zhang, Panpan Luo, Haibo Xu, Zheng He, Miao Shenyang Institute of Automation Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China The Key Lab of Image Understanding and Computer Vision Shenyang110016 China
At present, deep learning technology is widely used in ship target detection in synthetic aperture radar (SAR) images. However, high-resolution remote sensing SAR images cover a larger area and have larger image sizes... 详细信息
来源: 评论
GEM: Context-Aware Gaze EstiMation with Visual Search Behavior Matching for Chest Radiograph
arXiv
收藏 引用
arXiv 2024年
作者: Liu, Shaonan Chen, Wenting Liu, Jie Luo, Xiaoling Shen, Linlin Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University China Department of Electrical Engineering City University of Hong Kong Hong Kong AI Research Center for Medical Image Analysis and Diagnosis Shenzhen University China Guangdong Provincial Key Laboratory of Intelligent Information Processing China
Gaze estimation is pivotal in human scene comprehension tasks, particularly in medical diagnostic analysis. Eye-tracking technology facilitates the recording of physicians’ ocular movements during image interpretatio... 详细信息
来源: 评论
An Automatic Colorectal Polyps Detection Approach for Ct Colonography
An Automatic Colorectal Polyps Detection Approach for Ct Col...
收藏 引用
IEEE International Conference on image processing
作者: Mohamed Yousuf Islam Alkabbany Asem Ali Salwa Elshazley Albert Seow Gerald Dryden Aly Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY Faculty of Engineering Ain Shams University Cairo Egypt Kentucky Imaging Technologies Louisville KY School of Medicine University of Louisville Louisville KY
In this work, we propose an automatic colorectal polyps detection approach that consists of two cascade stages. In the first stage, a CNN model is trained to detect polyps in axial CT slices, The CNN model has been fe...
来源: 评论
Multi-View Network for Colorectal Polyps Detection in CT Colonography
Multi-View Network for Colorectal Polyps Detection in CT Col...
收藏 引用
IEEE International Conference on image processing
作者: Mohamed Yousuf Samir Harb Islam Alkabbany Asem Ali Salwa Elshazley Aly Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY Faculty of Engineering Ain Shams University Cairo Egypt Higher Technological Institute 10th of Ramadan City Egypt Faculty of Engineering Assiut University Assiut Egypt Kentucky Imaging Technologies Louisville KY
Early diagnosis of colorectal polyps, before they turn into cancer, is one of the main keys to treatment. In this work, we propose a framework to help radiologists in reading CT scans and identifying candidate CT slic... 详细信息
来源: 评论
Accurate Colon Segmentation Using 2D Convolutional Neural Networks With 3D Contextual Information
Accurate Colon Segmentation Using 2D Convolutional Neural Ne...
收藏 引用
IEEE International Conference on image processing
作者: Samir Harb A. Elsayed M. Yousuf I. Alkabbany A. Ali S. Elshazley A. Farag Computer Vision and Image Processing Laboratory (CVIP) University of Louisville Louisville KY Higher Technological Institute 10th of Ramadan City Egypt Faculty of Engineering Ain Shams University Cairo Egypt Faculty of Engineering Assiut University Assiut Egypt Kentucky Imaging Technologies Louisville KY
This study introduces an innovative framework designed specifically for accurate colon segmentation in abdomen CT scans, tackling the distinct challenges inherent to this task. Building upon well-established 2D segmen... 详细信息
来源: 评论
Deep Learning Methods for Ship Classification: From Visible to Infrared images  5
Deep Learning Methods for Ship Classification: From Visible ...
收藏 引用
5th International Conference on Robotics, Intelligent Control and Artificial Intelligence, RICAI 2023
作者: Liu, Tianci Qin, Hengjia Zhan, Zhuo Liu, Yunpeng Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110169 China University of Chinese Academy of Sciences Beijing100049 China Chinese Academy of Sciences Key Laboratory of Opto-Electronic Information Processing Shenyang110016 China Key Laboratory of Image Understanding and Computer Vision Liaoning Province Shenyang110016 China The Third Military Representative Office of the Air Force Equipment Department in Shenyang Region Liaoning Province Shenyang110027 China
Deep learning methods have achieved excellent performances on visual tasks of target recognition and classification. The rapid development of autonomous seafaring vessels comes up with the requirement to recognize oth... 详细信息
来源: 评论