| dc.contributor.author | Blackledge, Jonathan | en_US |
| dc.contributor.author | Dubovitskiy, D. A. | en_US |
| dc.contributor.editor | John Collomosse and Ian Grimstead | en_US |
| dc.date.accessioned | 2014-01-31T20:11:56Z | |
| dc.date.available | 2014-01-31T20:11:56Z | |
| dc.date.issued | 2010 | en_US |
| dc.identifier.isbn | 978-3-905673-75-3 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/TPCG10/131-138 | en_US |
| dc.description.abstract | A unique space oriented filer is presented in order to detect and isolate the cell of a nucleus for applications in cytopathology. A classification method for nuclei is then considered based on the application of a set of features which includes certain fractal parameters. Segmentation algorithms are considered in which a self-adjustable sharpening filter is designed to enhance object location. Although the methods discussed and the algorithms developed have a range of applications, in this work we focus on the engineering of a system for automating a Papanicolaou screening test using standard optical images | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Categories and Subject Descriptors (according to ACM CCS): I.5.4 [Pattern recognition]: Segmentation, Contour detection, Decision making, Self-learning, Cytopathology | en_US |
| dc.title | Pattern Recognition in Cytopathology for Papanicolaou Screening | en_US |
| dc.description.seriesinformation | Theory and Practice of Computer Graphics | en_US |
