Abstract
The focus of this work is on the detection of nuclei in synthetic images of cervical cells. Finding nuclei is an important step in building a computational method to help cytopathologists identify cell changes from Pap smears. The method developed in this work combines both the Multi-Start and the Iterated Local Search metaheuristics and uses the features of a region to identify a nucleus. It aims to improve the assertiveness of the screening and reduce the professional workload. The irace package was used to automatically calibrate all parameter values of the method. The proposed approach was compared with other methods in the literature according to recall, precision, and F1 metrics using the ISBI Overlapping Cytology Image Segmentation Challenge database (2014). The results show that the proposed method has the second-best values of F1 and recall, while the accuracy is still high.
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Acknowledgements
This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brazil (CAPES) - Finance Code 001. The authors thank CAPES, Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG, grants PPM/CEX/FAPEMIG/676-17 and PPSUS-FAPEMIG/APQ-03740-17), Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, grant 307915/2016-6), Universidade Federal de Ouro Preto (UFOP), the Moore-Sloan Foundation, and Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 for also supporting this research. Any opinion, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the Department of Energy or the University of California.
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Diniz, D.N. et al. (2020). An Iterated Local Search-Based Algorithm to Support Cell Nuclei Detection in Pap Smears Test. In: Filipe, J., Śmiałek, M., Brodsky, A., Hammoudi, S. (eds) Enterprise Information Systems. ICEIS 2019. Lecture Notes in Business Information Processing, vol 378. Springer, Cham. https://doi.org/10.1007/978-3-030-40783-4_5
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