Abstract | ||
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This paper approaches novel methods to segment the nucleus and cytoplasm of white blood cells (WBC). This information is the basis to perform higher level tasks such as automatic differential counting, which plays an important role in the diagnosis of different diseases. We explore the image simplification and contour regularization resulting from the application of the selfdual multiscale morphol... |
Year | DOI | Venue |
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2013 | 10.1109/TITB.2012.2207398 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Image segmentation,Transforms,Level set,Morphology,Image color analysis,Blood,Shape | Computer vision,Scale-space segmentation,Pattern recognition,Segmentation,Computer science,Image texture,Segmentation-based object categorization,Image quality,Image segmentation,Preprocessor,Artificial intelligence,Morphological gradient | Journal |
Volume | Issue | ISSN |
17 | 1 | 2168-2194 |
Citations | PageRank | References |
15 | 0.79 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Leyza Baldo Dorini | 1 | 65 | 9.53 |
Rodrigo Minetto | 2 | 178 | 15.01 |
Neucimar Jerônimo Leite | 3 | 418 | 29.45 |