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Title: Hierarchical median narrow band for level set segmentation of cervical cell nuclei.
Authors: Braga, Alan Magalhães
Marques, Régis Cristiano Pinheiro
Medeiros, Fátima Nelsizeuma Sombra de
Rocha Neto, Jeová Farias Sales
Bianchi, Andrea Gomes Campos
Carneiro, Cláudia Martins
Ushizima, Daniela Mayumi
Keywords: Cluster estimation
Narrow band level set
Issue Date: 2021
Citation: BRAGA, A. M. et al. Hierarchical median narrow band for level set segmentation of cervical cell nuclei. Measurement, v. 176, p. 109232, 2021. Disponível em: <>. Acesso em: 10 jun. 2021.
Abstract: This paper presents a novel hierarchical nuclei segmentation algorithm for isolated and overlapping cervical cells based on a narrow band level set implementation. Our method applies a new multiscale analysis algorithm to estimate the number of clusters in each image region containing cells, which turns into the input to a narrow band level set algorithm. We assess the nuclei segmentation results on three public cervical cell image databases. Overall, our segmentation method outperformed six state-of-the-art methods concerning the number of correctly segmented nuclei and the Dice coefficient reached values equal to or higher than 0.90. We also carried out classification experiments using features extracted from our segmentation results and the proposed pipeline achieved the highest average accuracy values equal to 0.89 and 0.77 for two-class and three-class problems, respectively. These results demonstrated the suitability of the proposed segmentation algorithm to integrate decision support systems for cervical cell screening.
ISSN: 0263-2241
Appears in Collections:DEACL - Artigos publicados em periódicos

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