Suppl 1: Prototypes for Content-Based Image Retrieval in Clinical Practice - PMC Back to Top
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Content-based image retrieval (CBIR) technology has been proposed to benefit not only the
management of increasingly large image collections, but also to aid clinical care, biomedical …

This chapter details the necessity for alternative access concepts to the currently mainly text-
based methods in medical information retrieval. This need is partly due to the large amount …

Diagnostic radiology requires accurate interpretation of complex signals in medical images.
Content-based image retrieval (CBIR) techniques could be valuable to radiologists in …

Content-based image retrieval (CBIR) has been one the most vivid research areas in the
field of computer vision, and substantial progress have been made over the last years. CBIR …

Picture archiving and communication systems (PACS) aim to efficiently provide the
radiologists with all images in a suitable quality for diagnosis. Modern standards for digital …

It is widely accepted that content-based image retrieval (CBIR) can be extremely useful for
computer-aided diagnosis (CAD). However, CBIR has not been established in clinical …

Content Based Image Retrieval (CBIR) is one of the outstanding areas in Computer Vision
and Image Processing [1]. Content Based Image Retrieval systems retrieve images from that …

Publisher Summary This chapter introduced content-based image retrieval (CBIR) and its
key components. CBIR methods support full retrieval by visual content/properties of images …

In the medical field, images, and especially digital images, are produced in ever increasing
quantities and used for diagnostics and therapy. Content based access to medical images …