loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Marina E. Plissiti ; Christophoros Nikou and Antonia Charchanti

Affiliation: University of Ioannina, Greece

ISBN: 978-989-674-018-4

Keyword(s): Nuclei segmentation, PAP stained cervical smear images, Active contours, Gradient Vector Flow (GVF) snake.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing

Abstract: In this work, we present an automated method for the detection of cells nuclei boundaries in conventional PAP stained cervical smear images. The proposed method consists of three phases: a) the definition of candidate nuclei centroids set using mathematical morphology, b) the initial approximation of cells nuclei boundaries and c) the application of the Gradient Vector Flow (GVF) snakes for the final estimation of candidate cell nuclei boundaries. It must be noted that the initial approximation of each snake position is obtained automatically, without any observer interference. For the final determination of the nuclei in our images, we perform a fuzzy C-means clustering, using a data set of patterns based on the characteristics of the area enclosed by the final position of the GVF snakes. The proposed method is evaluated using cytological images of conventional PAP smears, which contain 3616 recognized squamous epithelial cells. The results show that the application of the GVF snakes entails in accurate nuclei boundaries, and consequently in the improvement of the performance of the clustering algorithm. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.173.47.43

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
E. Plissiti M.; Nikou C.; Charchanti A. and (2010). ACCURATE LOCALIZATION OF CELL NUCLEI IN PAP SMEAR IMAGES USING GRADIENT VECTOR FLOW DEFORMABLE MODELS.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 284-289. DOI: 10.5220/0002746702840289

@conference{biosignals10,
author={Marina {E. Plissiti} and Christophoros Nikou and Antonia Charchanti},
title={ACCURATE LOCALIZATION OF CELL NUCLEI IN PAP SMEAR IMAGES USING GRADIENT VECTOR FLOW DEFORMABLE MODELS},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)},
year={2010},
pages={284-289},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002746702840289},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2010)
TI - ACCURATE LOCALIZATION OF CELL NUCLEI IN PAP SMEAR IMAGES USING GRADIENT VECTOR FLOW DEFORMABLE MODELS
SN - 978-989-674-018-4
AU - E. Plissiti, M.
AU - Nikou, C.
AU - Charchanti, A.
PY - 2010
SP - 284
EP - 289
DO - 10.5220/0002746702840289

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.