A Methodical Study of Content Based Medical Image Retrieval in Current Days
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. In this article, we recognized and talked about some of the issues exist in the area as numerous proposals for systems are made from the medical domain and research models are made in the department of computer science by utilizing medical datasets. Still, there are a small number of systems that appear to be utilized as a part of clinical practice. There is a needs to be expressed that the objective is not to change the text-based retrieval techniques as they exist right now but to enhance them with visual search tools. This article will provide a summary of available literature in the area of content based access to medical image data and on the method used in the area.
