Name
Abstract | ||
|---|---|---|
This paper describes three cytological image segmentation methods. The analysis includes the watershed algorithm, active contouring and a cellular automata GrowCut method. One can also find here a description of image pre-processing, Hough transform based pre-segmentation and an automatic nuclei localization mechanism used in our approach. Preliminary experimental results collected on a benchmark database present the quality of the methods in the analyzed issue. The discussion of common errors and possible future problems summarizes the work and points out regions that need further research. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.2478/v10006-008-0015-x | Applied Mathematics and Computer Science |
Keywords | Field | DocType |
hough transform,cytological image segmentation method,possible future problem,preliminary experimental result,cytological image segmentation,benchmark database,active contours,automatic nuclei localization mechanism,breast cancer fine needle,cellular automata growcut method,biopsy cytological images,active contouring,cellular automata growcut method.,common error,image pre-processing,watershed algorithm,image segmentation,active contour,cellular automata,breast cancer | Cellular automaton,Computer vision,Breast cancer,Fine needle biopsy,Segmentation,Computer science,GrowCut algorithm,Hough transform,Image segmentation,Artificial intelligence,Contouring | Journal |
Volume | Issue | ISSN |
18 | 2 | 1641-876X |
Citations | PageRank | References |
16 | 1.17 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maciej Hrebień | 1 | 20 | 2.98 |
| Piotr Steć | 2 | 16 | 1.51 |
| Tomasz Nieczkowski | 3 | 16 | 1.17 |
| Andrzej Obuchowicz | 4 | 76 | 10.10 |