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Authors: Débora N. Diniz 1 ; Marcone J. F. Souza 1 ; Claudia M. Carneiro 2 ; Daniela M. Ushizima 3 ; Fátima N. S. de Medeiros Sombra 4 ; Paulo H. C. Oliveira 1 and Andrea G. C. Bianchi 1

Affiliations: 1 Instituto de Ciências Exatas e Biológicas, Programa de Pós-graduaç ão em Ciência da Computaç ão, Universidade Federal de Ouro Preto, Ouro Preto and Brazil ; 2 Núcleo de Pesquisa em Ciências Biológicas, Programa de Pós-graduaç ão em Biotecnologia, Universidade Federal de Ouro Preto, Ouro Preto and Brazil ; 3 Berkeley Institute for Data Science, University of California and Lawrence Berkeley National Laboratory, Berkeley and California ; 4 Teleinformatics Engineering Department, Federal University of Ceará, Fortaleza and Brazil

Keyword(s): Nuclei Segmentation, Cervical Cells, Iterated Local Search, Meta-heuristic, Pap Smear Images Analysis.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Operational Research ; Problem Solving ; Strategic Decision Support Systems

Abstract: In this work, we propose an Iterated Local Search (ILS) approach to detect cervical cell nuclei from digitized Pap smear slides. The problem consists in finding the best values for the parameters to identify where the cell nuclei are located in the image. This is an important step in building a computational tool to help pathologists to identify cell alterations from Pap tests. Our approach is evaluated by using the ISBI Overlapping Cervical Cytology Image Segmentation Challenge (2014) database, which has 945 synthetic images and their respective ground truth. The precision achieved by the proposed heuristic approach is among the best ones in the literature; however, the recall still needs improvement.

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Paper citation in several formats:
Diniz, D. N., Souza, M. J. F., Carneiro, C. M., Ushizima, D. M., Sombra, F. N. S. M., Oliveira, P. H. C. and Bianchi, A. G. C. (2019). An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images. In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-372-8; ISSN 2184-4984, SciTePress, pages 319-327. DOI: 10.5220/0007718303190327

@conference{iceis19,
author={Débora N. Diniz and Marcone J. F. Souza and Claudia M. Carneiro and Daniela M. Ushizima and Fátima N. S. de Medeiros Sombra and Paulo H. C. Oliveira and Andrea G. C. Bianchi},
title={An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2019},
pages={319-327},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007718303190327},
isbn={978-989-758-372-8},
issn={2184-4984},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images
SN - 978-989-758-372-8
IS - 2184-4984
AU - Diniz, D.
AU - Souza, M.
AU - Carneiro, C.
AU - Ushizima, D.
AU - Sombra, F.
AU - Oliveira, P.
AU - Bianchi, A.
PY - 2019
SP - 319
EP - 327
DO - 10.5220/0007718303190327
PB - SciTePress

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