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Content-based image retrieval (CBIR) is standout amongst the most rich research fields in the area of computer vision & significant advancement has been made throughout the decade. CBIR is an image search methodology that changed the traditional text-based retrieval of images by utilizing various visual features, for example, color, texture, & shape, as criteria of search. In the area of medical, images, particularly digital images, are generated in constantly increasing quantities & utilized for diagnostics & therapy. Content based approaches into medical images to support in making clinical decision has been suggested that would simplify the management of clinical data & scenarios to incorporate the content-based approaches. As, the total quantity of data generated in diagnostic centers has increased, it leads to the utilization of CBIR in the daily routine of hospitals & clinics.
B. Satish. 2016. \u201cA Methodical Study of Content Based Medical Image Retrieval in Current Days\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 16 (GJCST Volume 16 Issue F2).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
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Total Score: 107
Country: India
Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision
Authors: B. Satish, Dr. Supreethi K. P (PhD/Dr. count: 1)
View Count (all-time): 308
Total Views (Real + Logic): 7409
Total Downloads (simulated): 1871
Publish Date: 2016 09, Tue
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This study aims to comprehensively analyse the complex interplay between
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