Abstract
There is an intense need for retrieving the contemporary, high precision, digital images of large proportions and multiple ranges. This is found worthwhile in numerous fields and there is an insightful necessity in medical field which is highly valuable for therapeutic diagnosis and further cure. The medical image retrieval is even used in education for conveying a pictorial understanding as well as view and in research, for discovering remedial drugs and vaccination, by image analysis. A thorough literature review is carried out on the progress of the process involved in image recording and retrieval. The aim of this study is to offer a road map for researchers by exploring the advancement of medical image retrieval covering the challenges in low-level and semantic features, edge information analysis pertaining to shape/region-based inspection, gray level used in medical images, complications of involving many features at a time and associated dimensional issues, types of image retrieval, algorithms used, computational efficacy and time. The limitations of the features involved in content-based retrieval and the challenges posed are analyzed.
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Nair, L.R., Subramaniam, K., Prasannavenkatesan, G.K.D. (2020). A Review on Multiple Approaches to Medical Image Retrieval System. In: Solanki, V., Hoang, M., Lu, Z., Pattnaik, P. (eds) Intelligent Computing in Engineering. Advances in Intelligent Systems and Computing, vol 1125. Springer, Singapore. https://doi.org/10.1007/978-981-15-2780-7_55
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DOI: https://doi.org/10.1007/978-981-15-2780-7_55
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