An overview of approaches for content-based medical image retrieval

被引:24
|
作者
Das P. [1 ]
Neelima A. [1 ]
机构
[1] National Institute of Technology Nagaland, Dimapur, Nagaland
关键词
Clinical analysis; Image indexing; Image retrieval; Medical imaging;
D O I
10.1007/s13735-017-0135-x
中图分类号
学科分类号
摘要
Medical imaging performs a vital role in the medical field as it provides important information on the internal body parts for the clinical analysis and medical intervention which enables physicians to diagnose and treat a variety of diseases. Nowadays the medical diagnosis is increasing at a very high rate, which results in the formation of a huge medical image database, and retrieving similar medical images from such a huge database is a very difficult task. A literature review of various methods for biomedical image indexing and retrieval is presented here. Over 140 contributions are included from the literature in this survey. And it is mainly concentrated on the methodology based on the visual representation of the medical images as content-based medical image retrieval (CBMIR) approaches retrieve similar medical images more efficiently as compared to text-based biomedical image retrieval approaches. It also delineates how various ideas were adopted from different computer science methodologies for developing CBMIR systems. © 2017, Springer-Verlag London Ltd.
引用
收藏
页码:271 / 280
页数:9
相关论文
共 50 条
  • [1] Exploiting Evolutionary approaches for Content-Based Medical Image Retrieval
    Rocha, Reginaldo
    Saito, Priscila T. M.
    Bugatti, Pedro H.
    [J]. 2015 IEEE 28TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), 2015, : 370 - 371
  • [2] Content-based Image Retrieval for Medical Image
    Zheng, Kaimei
    [J]. 2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2015, : 219 - 222
  • [3] Overview on subjective similarity of images for content-based medical image retrieval
    Muramatsu C.
    [J]. Radiological Physics and Technology, 2018, 11 (2) : 109 - 124
  • [4] An overview of content-based image retrieval techniques
    Deb, S
    Zhang, YC
    [J]. 18TH INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS, VOL 1 (LONG PAPERS), PROCEEDINGS, 2004, : 59 - 64
  • [5] Content-based Image Retrieval for Clinical Applications: An Overview of Current Approaches and Challenges
    Valente, Frederico
    Silva, Augusto
    Costa, Carlos
    [J]. CURRENT MEDICAL IMAGING, 2013, 9 (04) : 250 - 262
  • [6] Medical image description in content-based image retrieval
    Hong, Shao
    Cui Wen-Cheng
    Tang Li
    [J]. 2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, : 6336 - 6339
  • [7] A survey on content-based medical image retrieval
    Shen, Ye
    Li, Mindan
    Xia, Shunren
    [J]. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics, 2010, 22 (04): : 569 - 578
  • [8] Content-based Image Retrieval for Medical Application
    Ahmad, Wan Siti Halimatul Munirah Wan
    Zaki, Wan Mimi Diyana Wan
    Hussain, Aini
    Siong, Ling Chei
    Hing, Wong Erica Yee
    [J]. JURNAL KEJURUTERAAN, 2018, 30 (01): : 111 - 121
  • [9] Content-based image retrieval for medical imagery
    Pavlopoulou, C
    Kak, A
    Brodley, C
    [J]. MEDICAL IMAGING 2003: PACS AND INTEGRATED MEDICAL INFORMATION SYSTEMS: DESIGN AND EVALUATION, 2003, 5033 : 85 - 96
  • [10] Content-based image retrieval in medical applications
    Lehmann, TM
    Güld, MO
    Thies, O
    Fisher, B
    Spitzer, K
    Keysers, D
    Ney, H
    Kohnen, M
    Schubert, H
    Wein, BB
    [J]. METHODS OF INFORMATION IN MEDICINE, 2004, 43 (04) : 354 - 361