Name
Abstract | ||
|---|---|---|
Digital radiology leads to a growing amount of medical im- ages which impose severe demands on networking and storage resources. These requirements can be met using content-orientated image compres- sion which reduces the amount of data while preserving the diagnostic information. This paper presents a new method for automated vessel segmentation which can be used for both, decision support systems and content-orientated image compression of angiograms. |
Year | Venue | Keywords |
|---|---|---|
2003 | DICTA | decision support system,image compression |
Field | DocType | Citations |
Vessel segmentation,Computer vision,Pattern recognition,Computer science,Segmentation,Decision support system,Artificial intelligence,Subtraction,Image compression | Conference | 1 |
PageRank | References | Authors |
0.37 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Franz | 1 | 483 | 53.56 |
| René Schüffny | 2 | 133 | 24.49 |