A deep community based approach for large scale content based X-ray image retrieval

Haq Nandinee Fariah; Moradi Mehdi; Wang Z. Jane

首页> 外文期刊>Medical image analysis >A deep community based approach for large scale content based X-ray image retrieval

【24h】

A deep community based approach for large scale content based X-ray image retrieval

机译：基于大规模内容的X射线图像检索的深度社区方法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

A computer assisted system for automatic retrieval of medical images with similar image contents can serve as an efficient management tool for handling and mining large scale data, and can also be used as a tool in clinical decision support systems. In this paper, we propose a deep community based automated medical image retrieval framework for extracting similar images from a large scale X-ray database. The framework integrates a deep learning-based image feature generation approach and a network community detection technique to extract similar images. When compared with the state-of-the-art medical image retrieval techniques, the proposed approach demonstrated improved performance. We evaluated the performance of the proposed method on two large scale chest X-ray datasets, where given a query image, the proposed approach was able to extract images with similar disease labels with a precision of 85%. To the best of our knowledge, this is the first deep community based image retrieval application on large scale chest X-ray database. (C) 2020 Elsevier B.V. All rights reserved.

机译：None

著录项

来源
《Medical image analysis》 |2021年第1期|共9页
作者
Haq Nandinee Fariah; Moradi Mehdi; Wang Z. Jane;
展开▼
作者单位

Univ British Columbia Vancouver BC Canada;

IBM Res Almaden Res Ctr San Jose CA USA;

Univ British Columbia Vancouver BC Canada;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类影像诊断学;
关键词
Content based image retrieval (CBIR); Deep learning; Graph; Community detection;

机译：基于内容的图像检索（CBIR）;深度学习;图;社区检测;

相似文献

外文文献
中文文献
专利

1. Indexing of Content-Based Image Retrieval System with Image Understanding Approach [J] . 李学龙, 刘政凯, 俞能海系统工程与电子技术（英文版） . 2003,第002期
2. High-dimensional indexing technologies for large scale content-based image retrieval: a review [J] . Lie-fu AI, Jun-qing YU, Yun-feng HE, 浙江大学学报（英文版）（C辑：计算机与电子） . 2013,第007期
3. New Approach on the Techniques of Content-Based Image Retrieval (CBIR) Using Color, Texture and Shape Features [J] . Mohd Afizi Mohd Shukran, Muhamad Naim Abdullah, Mohd Sidek Fadhil Mohd Yunus 材料科学与化学工程（英文） . 2021,第001期
4. Deep Belief CNN Feature Representation Based Content Based Image Retrieval for Medical Images [J] . Sundararajan, S.K., Sankaragomathi, Journal of medical systems . 2019,第6期

机译：基于内容的基于内容图像检索的医学图像的深度信仰CNN特征表示
5. A Scalable Approach for Content-Based Image Retrieval in Peer-to-Peer Networks [J] . Lelin Zhang, Zhiyong Wang, Tao Mei, IEEE Transactions on Knowledge and Data Engineering . 2016,第4期

机译：对等网络中基于内容的图像检索的可扩展方法
6. A scalable approach for content based image retrieval in cloud datacenter [J] . Jianxin Liao, Di Yang, Tonghong Li, Information systems frontiers . 2014,第1期

机译：云数据中心中基于内容的图像检索的可扩展方法
7. Storage and breast region segmentation for a non-distributed approach to clinical scale content-based image retrieval in mammography [C] . Fumbeya Marungo, Paul Taylor Conference on advanced PACS-based imaging informatics and therapeutic applications . 2013

机译：存储和乳房区域分割，用于在乳腺X射线摄影中基于临床规模基于内容的图像检索的非分布式方法
8. Effective graph-based content-based image retrieval systems for large-scale and small-scale image databases [D] . Chang, Ran 2014

机译：适用于大型和小型图像数据库的基于图形的基于内容的有效图像检索系统
9. Towards knowledge-based retrieval of medical images. The role of semantic indexing image content representation and knowledge-based retrieval. [O] . H. J. Lowe, I. Antipov, W. Hersh, 1998

机译：致力于基于知识的医学图像检索。语义索引图像内容表示和基于知识的检索的作用。
10. Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques [O] . T. Rajasenbagam, S. Jeyanthi, J. Arun Pandian 2021

机译：利用深卷积神经网络和基于内容的图像检索技术检测胸部X射线图像肺肺肺炎的检测
11. Complex Event Processing for Content-Based Text, Image, and Video Retrieval. [R] . Boury-Brisset, A., Bowman, E. K., Burghouts, G., 2016

机译：基于内容的文本，图像和视频检索的复杂事件处理。

A deep community based approach for large scale content based X-ray image retrieval

摘要

著录项

相似文献

相关主题

期刊订阅