Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Applied mathematics
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 the engineering of a system for automating a Papanicolaou screening test using standard optical images
Recommended Citation
Blackledge, J.,Dubovitskiy, D.: Pattern Recognition in Cytopathology for Papanicolaou Screening. In Eurographics UK Chapter Proceedings, vol: 978-3-905673-75-3, pages: 131 - 138.
Included in
Cell Anatomy Commons, Cell Biology Commons, Other Microbiology Commons, Pathogenic Microbiology Commons
Publication Details
Eurographics UK Chapter Proceedings, vol: 978-3-905673-75-3, pages: 131 - 138, Theory and Practice of Computer Graphics, University of Sheffield.