Content Based Medical Image Retrieval – Performance Comparison of Various Methods

Hebbar, Harishchandra H and Niranjan, U C and Mushigeri, Sumanth (2013) Content Based Medical Image Retrieval – Performance Comparison of Various Methods. International Journal of Computational Engineering Research, 3 (11). pp. 47-57. ISSN 2250-3005

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Abstract

Present healthcare system calls for standardization and interoperability of images acquired by various equipment manufacturers. The healthcare system is also not limited to a single super-specialty hospital where state of the art machines and excellent physicians are available but should also these services need to be available in remote places too. Nowadays, number of images acquired by the hospitals is increasing due to the various modalities available to identify accurately the cause of the deceases. This results in more number of medical images being stored in the database in hospitals. The interpretation of these medical images becomes even more critical, as it may contain the information which cannot be perceived by human eye. Therefore the images need to be annotated appropriately while it is stored so that, retrieval of the images of interest can be done quickly. The manual annotation is very cumbersome process when large number of images is involved in the retrieval process. Hence it is necessary to have an efficient Content Based Image Retrieval System which is user friendly and user definable in terms of speed and Precision.

Item Type: Article
Uncontrolled Keywords: CBIR, Histogram, Retrieval time, Precision, Recall, CDF, GLCM, DICOM, RSNA,
Subjects: Information Sciences > MCIS Manipal
Depositing User: MIT Library
Date Deposited: 07 Apr 2017 10:54
Last Modified: 07 Apr 2017 10:54
URI: http://eprints.manipal.edu/id/eprint/148666

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