Content-based visual information retrieval (CBVIR) or content-based image retrieval (CBIR)
has been one on the most vivid research areas in the field of computer vision over the last …

Presents a review of 200 references in content-based image retrieval. The paper starts with
discussing the working conditions of content-based retrieval: patterns of use, types of …

Physicians are beginning to be able to gain access, through the Internet, to the world's
collections of multimedia medical information such as MRI (magnetic resonance imaging) …

The aging population and the growing amount of medical data have increased the need for
automated tools in the neurology departments. Although the researchers have been …

The field of medicine is often cited as an area for which content-based visual retrieval holds
considerable promise. To date, very few visual image retrieval systems have been used in …

Content-based image retrieval systems (CBIRSs) have frequently been proposed for the use
in medical image databases and PACS. Still, only few systems were developed and used in …

Most picture archiving and communication systems provide image search capabilities that
support queries based on patient demographics and study descriptions. In a preliminary …

Abstract A Content-Based Retrieval Architecture (COBRA) for picture archiving and
communication systems (PACS) is introduced. COBRA improves the diagnosis, research …

Practitioners in the area of neurology often need to retrieve multimodal magnetic resonance
(MR) images of the brain to study disease progression and to correlate observations across …

This review of medical imaging informatics is a survey of current developments in an exciting
field. The focus is on informatics issues rather than traditional data processing and …