Name
Abstract | ||
|---|---|---|
A Content-Based Retrieval Architecture (COBRA) for picture archiving and communication systems (PACS) is introduced. COBRA
improves the diagnosis, research, and training capabilities of PACS systems by adding retrieval by content features to those
systems. COBRA is an open architecture based on widely used health care and technology standards. In addition to regular PACS
components, COBRA includes additional components to handle representation, storage, and content-based similarity retrieval.
Within COBRA, an anatomy classification algorithm is introduced to automatically classify PACS studies based on their anatomy.
Such a classification allows the use of different segmentation and image-processing algorithms for different anatomies. COBRA
uses primitive retrieval criteria such as color, texture, shape, and more complex criteria including object-based spatial
relations and regions of interest. A prototype content-based retrieval system for MR brain images was developed to illustrate
the concepts introduced in COBRA. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1007/BF03168371 | J. Digital Imaging |
Keywords | Field | DocType |
content-based image retrieval,medical image databases,medical information system,picture archiving and communication systems,information retrieval | Spatial relation,Computer vision,Cobra,Open architecture,Information retrieval,Segmentation,Computer science,Radiology information systems,Communications system,Content based retrieval,Artificial intelligence,Content-based image retrieval | Journal |
Volume | Issue | ISSN |
13 | 2 | 0897-1889 |
Citations | PageRank | References |
17 | 1.46 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Essam A. El-Kwae | 1 | 111 | 11.06 |
| Haifeng Xu | 2 | 17 | 1.46 |
| Mansur R. Kabuka | 3 | 250 | 16.95 |