Pattern Recognition in Cytopathology for Papanicolaou Screening
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Date
2010
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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
Description
@inproceedings{10.2312:LocalChapterEvents/TPCG/TPCG10/131-138,
booktitle = {Theory and Practice of Computer Graphics},
editor = {John Collomosse and Ian Grimstead},
title = {{Pattern Recognition in Cytopathology for Papanicolaou Screening}},
author = {Blackledge, Jonathan and Dubovitskiy, D. A.},
year = {2010},
publisher = {The Eurographics Association},
ISBN = {978-3-905673-75-3},
DOI = {10.2312/LocalChapterEvents/TPCG/TPCG10/131-138}
}