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Authors: Marine Astruc 1 ; Patrik Malm 2 ; Rajesh Kumar 3 and Ewert Bengtsson 2

Affiliations: 1 Ecole Centrale Nantes, France ; 2 Uppsala University, Sweden ; 3 Centre for Development of Advanced Computing, India

ISBN: 978-989-8565-41-9

Keyword(s): Pap-smear, Automated Screening, Cluster Detection, Field-of-View Analysis.

Related Ontology Subjects/Areas/Topics: Applications ; Clustering ; Computer Vision, Visualization and Computer Graphics ; Graphical and Graph-Based Models ; Image Understanding ; Medical Imaging ; Pattern Recognition ; Software Engineering ; Theory and Methods

Abstract: Automated cervical cancer screening systems require high resolution analysis of a large number of epithelial cells, involving complex algorithms, mainly analysing the shape and texture of cell nuclei. This can be a very time consuming process. An initial selection of relevant fields-of-view in low resolution images could limit the number of fields to be further analysed at a high resolution. In particular, the detection of cell clusters is of interest for nuclei segmentation improvement, and for diagnostic purpose, malignant and endometrial cells being more prone to stick together in clusters than other cells. In this paper, we propose methods aiming at evaluating the quality of fields-of-view in bright-field microscope images of cervical cells. The approach consists of the construction of neighbourhood graphs using the nuclei as the set of vertices. Transformations are then applied to such graphs in order to highlight the main structures in the image. The methods result in the deline ation of regions with varying cell density and the identification of cell clusters. Clustering methods are evaluated using a dataset of manually delineated clusters and compared to a related work. (More)

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Paper citation in several formats:
Astruc, M.; Malm, P.; Kumar, R. and Bengtsson, E. (2013). Cluster Detection and Field-of-View Quality Rating - Applied to Automated Pap-smear Analysis.In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 355-364. DOI: 10.5220/0004254803550364

@conference{icpram13,
author={Marine Astruc. and Patrik Malm. and Rajesh Kumar. and Ewert Bengtsson.},
title={Cluster Detection and Field-of-View Quality Rating - Applied to Automated Pap-smear Analysis},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={355-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004254803550364},
isbn={978-989-8565-41-9},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Cluster Detection and Field-of-View Quality Rating - Applied to Automated Pap-smear Analysis
SN - 978-989-8565-41-9
AU - Astruc, M.
AU - Malm, P.
AU - Kumar, R.
AU - Bengtsson, E.
PY - 2013
SP - 355
EP - 364
DO - 10.5220/0004254803550364

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