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Authors: Débora Diniz 1 ; Marcone Souza 1 ; Claudia Carneiro 2 ; Daniela Ushizima 3 ; Fátima Sombra 4 ; Paulo Oliveira 1 and Andrea 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

ISBN: 978-989-758-372-8

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

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.; Souza, Marcone; Carneiro, C.; Ushizima, D.; Sombra, F.; Oliveira, P. and Bianchi, A. (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, pages 319-327. DOI: 10.5220/0007718303190327

@conference{iceis19,
author={Débora N. Diniz. and Souza, Marcone 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},
}

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
AU - Diniz, D.
AU - Souza, Marcone
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

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