Open Access   Article Go Back

Content Based Medical Image Retrieval-A Survey

Manjula Gururaj Rao H1 , Dr. G.S Nagaraja2

Section:Survey Paper, Product Type: Journal Paper
Volume-04 , Issue-04 , Page no. 51-53, Jun-2016

Online published on Jun 29, 2016

Copyright © Manjula Gururaj Rao H , Dr. G.S Nagaraja . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Manjula Gururaj Rao H , Dr. G.S Nagaraja, “Content Based Medical Image Retrieval-A Survey,” International Journal of Computer Sciences and Engineering, Vol.04, Issue.04, pp.51-53, 2016.

MLA Style Citation: Manjula Gururaj Rao H , Dr. G.S Nagaraja "Content Based Medical Image Retrieval-A Survey." International Journal of Computer Sciences and Engineering 04.04 (2016): 51-53.

APA Style Citation: Manjula Gururaj Rao H , Dr. G.S Nagaraja, (2016). Content Based Medical Image Retrieval-A Survey. International Journal of Computer Sciences and Engineering, 04(04), 51-53.

BibTex Style Citation:
@article{H_2016,
author = {Manjula Gururaj Rao H , Dr. G.S Nagaraja},
title = {Content Based Medical Image Retrieval-A Survey},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2016},
volume = {04},
Issue = {04},
month = {6},
year = {2016},
issn = {2347-2693},
pages = {51-53},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=102},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=102
TI - Content Based Medical Image Retrieval-A Survey
T2 - International Journal of Computer Sciences and Engineering
AU - Manjula Gururaj Rao H , Dr. G.S Nagaraja
PY - 2016
DA - 2016/06/29
PB - IJCSE, Indore, INDIA
SP - 51-53
IS - 04
VL - 04
SN - 2347-2693
ER -

           

Abstract

In today’s world medical images play a vital role. Retrieving the correct information from medical images is the very difficult and time consuming. This paper presents the overview of content based image retrieval processing such as how medical images are processed and what are the techniques used for processing. This paper also discusses the difficulties in processing of the medical images and how to overcome difficulties. This paper overall gives an innovative idea of how content based image retrieval is employed in the medical images.

Key-Words / Index Term

CBIR, Image Retrieval, Annotation, CBIRMI

References

[1] P.Ghosh, S.Antani, L. R. Long and G.R.Thoma, "Review of medical image retrieval systems and future directions," Computer-Based Medical Systems(CBMS), 2011 24th International Symposium on, Bristol, 2011, pp.1-6.
[2] P. M. Willy and K. H. Kufer, "Content-based medical image retrieval (CBMIR): an intelligent retrieval system for handling multiple organs of interest," Computer-Based Medical Systems, 2004. CBMS 2004. Proceedings. 17th IEEE Symposium on, 2004, pp. 103-108.
[3] S. Bhadoria and C. G. Dethe, "Study of Medical Image Retrieval," Data Storage and Data Engineering (DSDE), 2010 International Conference on, Bangalore, 2010, pp. 192-196.
[4] Validation in Medical Image Processing "IEEE Transactions on Medical Imaging 2006;25(11):1405-9".
[5] Challenges of medical image processing –Ingrid Scholl • Til Aach • Thomas M. Deserno •Torsten Kuhlen Published online: 23 December 2010 © Springer-Verlag 2010 Comput Sci Res Dev (2011) 26: 5–13 DOI 10.1007/s00450-010-0146-9.
[6] BerteroMA, Poggio T, Torre V (1988) Ill-posed problems in early vision. Proc IEEE 76(8):869–889 inserm-00330525, version 1 - 21 Oct 2008.
[7] Hentschel B, Bischof C, Kuhlen T (2007) Comparative visualization of human nasal airflows. Medicine meets virtual reality 15. IOS Press, Amsterdam.
[8] Guthe S, Wand M, Gonser J, Strasser W (2002) Interactive rendering of large volume data sets. IEEE Trans Vis Computer Graph 9(3):53–60.
[9] Gobbetti E, Marton F, Guitián JA (2008) A single-pass GPU ray casting framework for interactive out-of-core rendering of massive volumetric datasets. Visual. Computing 24:797–806.
[10] Coveney PV (2005) Scientific grid computing. Philos Transact A Math Physics Engineer Science 363(1833):1707–1713.
[11] Strengert M, Magallón M,Weiskopf D, Guthe S, Ertl T (2004) Hierarchical visualization and compression of large volume datasets using GPU clusters. In: Eurographics symposium on parallel graphics and visualization.
[12] Strengert M, Magallón M, Weiskopf D, Guthe S, Ertl T(2005) Large volume visualization of compressed time-dependent datasets on GPU clusters. Parallel Computer 31(2):205–219.
[13] Sasi Kumar. M et. al. Medical Image Matching and Retrieval using Discrete Sine Transform (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 09, 2010, 2880-2882.