Explicit Study on Design and Development of Content-based Image Retrieval in Medical Imaging

Abstract

Digital Image Databases and documentation provide lot of research areas. Significant among them is, the Content Based Image Retrieval (CBIR) research area for manipulating large amount of image databases and archives. The development in the field of medical imaging system has lead industries to conceptualize a complete automated system for the medical procedures, diagnosis, treatment and prediction. There is a continuous research in the area of CBIR systems typically for medical images, which provides a successive algorithm development for achieving generalized methodologies, which could be widely used. The achievement of such system mainly depends upon the strength, accuracy and speed of the retrieval systems. Content Based Image Retrieval (CBIR) system is valuable in medical systems as it provides retrieval of the images from the large dataset based on similarities. The aim of this paper is to discuss the various techniques, the assumptions and its scope suggested by various researchers and setup a further roadmap of the research in the field of CBIR system for medical image.


How to cite this article:
Fatima S. Explicit Study on Design and Development of Content-based Image Retrieval in Medical Imaging. J Adv Res Electro Engi Tech 2021; 8(1&2): 23-27.


DOI: https://doi.org/10.24321/2456.1428.202101

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Published
2022-02-17
How to Cite
FATIMA, Shaheen. Explicit Study on Design and Development of Content-based Image Retrieval in Medical Imaging. Journal of Advanced Research in Electronics Engineering and Technology, [S.l.], v. 8, n. 1&2, p. 1-5, feb. 2022. ISSN 2456-1428. Available at: <https://thejournalshouse.com/index.php/electronics-engg-technology-adr/article/view/540>. Date accessed: 05 oct. 2022.