Image retrieval system for medical applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper discusses the review of image retrieval system for medical applications. For decades, image retrieval system research has been popular and as such, it is widely used in the market today. But in the medical field, there are only a few systems available and they have limitations. Text-based Image Retrieval Systems (TBIRSs) have been used in many hospitals but such systems are not efficient especially when dealing with large databases. Thus, Content-based Image Retrieval System (CBIRS) was proposed to overcome the inefficiency in TBIRS. However, CBIRS also has some limitations in medical field and requires further research to improve it. To begin with, this paper intends to present a study on hybrid system involving both the TBIRS and CBIRS as its components. Additionally, it suggests a prototype for the TBIRS.

Original languageEnglish
Title of host publicationISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-77
Number of pages5
ISBN (Print)9781479989690
DOIs
Publication statusPublished - 13 Oct 2015
EventIEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015 - Langkawi, Malaysia
Duration: 12 Apr 201514 Apr 2015

Other

OtherIEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015
CountryMalaysia
CityLangkawi
Period12/4/1514/4/15

Fingerprint

Medical applications
Image retrieval
Hybrid systems

Keywords

  • content-based image retrieval
  • database
  • hybrid retrieval
  • medical application
  • system prototype
  • text-based image retrieval

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Siong, L. C., Wan Zaki, W. M. D., Hussain, A., & Abdul Hamid, H. (2015). Image retrieval system for medical applications. In ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics (pp. 73-77). [7298331] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCAIE.2015.7298331

Image retrieval system for medical applications. / Siong, Ling Chei; Wan Zaki, Wan Mimi Diyana; Hussain, Aini; Abdul Hamid, Hamzaini.

ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2015. p. 73-77 7298331.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Siong, LC, Wan Zaki, WMD, Hussain, A & Abdul Hamid, H 2015, Image retrieval system for medical applications. in ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics., 7298331, Institute of Electrical and Electronics Engineers Inc., pp. 73-77, IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2015, Langkawi, Malaysia, 12/4/15. https://doi.org/10.1109/ISCAIE.2015.7298331
Siong LC, Wan Zaki WMD, Hussain A, Abdul Hamid H. Image retrieval system for medical applications. In ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc. 2015. p. 73-77. 7298331 https://doi.org/10.1109/ISCAIE.2015.7298331
Siong, Ling Chei ; Wan Zaki, Wan Mimi Diyana ; Hussain, Aini ; Abdul Hamid, Hamzaini. / Image retrieval system for medical applications. ISCAIE 2015 - 2015 IEEE Symposium on Computer Applications and Industrial Electronics. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 73-77
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