An Iterated Local Search Algorithm for Cell Nuclei Detection from Pap Smear Images

Débora Diniz, Marcone Souza, Claudia Carneiro, Daniela Ushizima, Fátima Sombra, Paulo Oliveira, Andrea Bianchi

2019

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.

Paper Citation

in Harvard Style

Diniz D., Souza M., 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

in Bibtex Style

@conference{iceis19,
author={Débora Diniz and Marcone Souza and Claudia Carneiro and Daniela Ushizima and Fátima Sombra and Paulo Oliveira and Andrea 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},
}

in EndNote Style

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 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