Name
Title | ||
|---|---|---|
A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. |
Abstract | ||
|---|---|---|
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 10 years. The availability of large and steadily growing amounts of visual and multimedia data, and the development of the Internet underline the need to create thematic access methods that offer more than simple text-based queries or requests based on matching exact database fields. Many programs and tools have been developed to formulate and execute queries based on the visual or audio content and to help browsing large multimedia repositories. Still, no general breakthrough has been achieved with respect to large varied databases with documents of differing sorts and with varying characteristics. Answers to many questions with respect to speed, semantic descriptors or objective image interpretations are still unanswered. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ijmedinf.2003.11.024 | International Journal of Medical Informatics |
Keywords | Field | DocType |
Medical image retrieval,Content-based search,Visual information retrieval,PACS | Data mining,Automatic image annotation,DICOM,Access method,Information retrieval,Computer science,Image retrieval,Digital image,Multimedia,Content-based image retrieval,System integration,The Internet | Journal |
Volume | Issue | ISSN |
73 | 1 | 1386-5056 |
Citations | PageRank | References |
563 | 27.04 | 79 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Henning Müller | 1 | 2538 | 218.89 |
| Nicolas Michoux | 2 | 573 | 28.00 |
| David Bandon | 3 | 577 | 28.14 |
| Antoine Geissbuhler | 4 | 815 | 49.75 |