Research Article
Content Based Image Retrieval for Medical Images Techniques and Storage Methods-Review Paper
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 1 - Issue 19 |
| Published: February 2010 |
| Authors: K.Wanjale, Tejas Borawake, Shashideep Chaudhari |
10.5120/394-587
|
K.Wanjale, Tejas Borawake, Shashideep Chaudhari . Content Based Image Retrieval for Medical Images Techniques and Storage Methods-Review Paper. International Journal of Computer Applications. 1, 19 (February 2010), 105-107. DOI=10.5120/394-587
@article{ 10.5120/394-587,
author = { K.Wanjale,Tejas Borawake,Shashideep Chaudhari },
title = { Content Based Image Retrieval for Medical Images Techniques and Storage Methods-Review Paper },
journal = { International Journal of Computer Applications },
year = { 2010 },
volume = { 1 },
number = { 19 },
pages = { 105-107 },
doi = { 10.5120/394-587 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2010
%A K.Wanjale
%A Tejas Borawake
%A Shashideep Chaudhari
%T Content Based Image Retrieval for Medical Images Techniques and Storage Methods-Review Paper%T
%J International Journal of Computer Applications
%V 1
%N 19
%P 105-107
%R 10.5120/394-587
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In the medical field, images, and especially digital images, are produced in ever increasing quantities and used for diagnostics and therapy. Content based access to medical images for supporting clinical decision making has been proposed that would ease the management of clinical data and scenarios for the integration of content-based access methods into Picture Archiving and Communication Systems (PACS) have been created.
References
- . Content-based Retrieval of Medical Images by Continuous Feature Selection Pedro H. Bugatti, Marcela X. Ribeiro, Agma J. M. Traina, Caetano Traina Jr Department of Computer Science - ICMC, University of Sao Paulo at Sao Carlos - USP.
- . Enriching content-based medical image retrieval with automatically extracted MeSH-terms by Müller H, Ruch P, Geissbuhler A.
- . Content-Based Medical Image Retrieval Using Low-Level Visual Features and Modality Identification by Juan C. Caicedo, Fabio A. Gonzalez and Eduardo Romero.
- . Features for Image Retrieval: A Quantitative Comparison by Thomas Deselaers, Daniel Keysers, and Hermann Ney.
- . Content Based Image Retrieval For Medical Images Using Generic Fourier Descriptor by A. Grace Selvarani1 and Dr. S. Annadurai2.
- . Image Retrieval: Ideas, Influences, and Trends of the New Age Ritendra Datta, Dhiraj Joshi, Jia Li, and James Z. Wang. The Pennsylvania State University.
- . A Review of Content-Based Image Retrieval Systems in Medical Applications - Clinical Benefits and Future Directions Henning Miller, Nicolas Michoux, David Bandon and Antoine Geissbuhler Division for Medical Informatics, University Hospital of Geneva Rue Micheli-du-Crest 21, 1211 Geneva 14, Switzerland.
- . A Universal Model for Content-Based Image Retrieval S. Nandagopalan, Dr. B. S. Adiga, and N. Deepak.
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