Name
Abstract | ||
|---|---|---|
This paper studies the problem of detecting significant regions in medical image analysis. The solution of this non well-defined problem requires in general several criteria to attempt to measure the relevance of an input image features. Criteria properties are important in medical imaging in order to permit their application in a variety of situations. We adopt in this paper the morphological framework, which facilitates the study of the problem and, in addition, provides useful pre-processing and image analysis techniques. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45497-7_3 | ISMDA |
Keywords | Field | DocType |
morphological framework,criteria property,image analysis technique,useful pre-processing,paper study,detecting significant regions,non well-defined problem,medical image analysis,medical imaging,input image feature,significant region,image features,image analysis | Data mining,Feature detection (computer vision),Pattern recognition,Medical imaging,Computer science,Feature (computer vision),Artificial intelligence | Conference |
ISBN | Citations | PageRank |
3-540-42734-1 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Crespo | 1 | 126 | 24.90 |
| Holger Billhardt | 2 | 372 | 36.86 |
| Juan Rodríguez-Pedrosa | 3 | 0 | 0.68 |
| José A. Sanandrés | 4 | 26 | 2.34 |