An ensemble method for nuclei detection of overlapping cervical cells.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorDiniz, Débora Nasser-
Autor(es): dc.creatorVitor, Rafael Ferreira-
Autor(es): dc.creatorBianchi, Andrea Gomes Campos-
Autor(es): dc.creatorSilva, Saul Emanuel Delabrida-
Autor(es): dc.creatorCarneiro, Cláudia Martins-
Autor(es): dc.creatorUshizima, Daniela Mayumi-
Autor(es): dc.creatorMedeiros, Fátima Nelsizeuma Sombra de-
Autor(es): dc.creatorSouza, Marcone Jamilson Freitas-
Data de aceite: dc.date.accessioned2025-08-21T15:32:20Z-
Data de disponibilização: dc.date.available2025-08-21T15:32:20Z-
Data de envio: dc.date.issued2022-12-05-
Data de envio: dc.date.issued2022-12-05-
Data de envio: dc.date.issued2020-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/jspui/handle/123456789/15839-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S0957417421010356-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.eswa.2021.115642-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1017761-
Descrição: dc.descriptionThe Pap test is a preventive approach that requires specialized and labor-intensive examination of cytological preparations to track potentially cancerous cells from the internal and external cervix surface. A cytopathologist must analyze many microscopic fields while screening for abnormal cells. Therefore there is hope that a support decision system could assist with clinical diagnosis, for example, by identifying sub-cellular abnormalities, such as changes in the nuclei features. This work proposes an ensemble method for cervical nuclei detection aiming to reduce the workload of cytopathologists. First, a preprocessing phase divides the original image into superpixels, which are input to feature extraction and selection algorithms. The proposed ensemble method combines three classifiers: Decision Tree (DT), Nearest Centroid (NC), and k-Nearest Neighbors (k-NN), which are evaluated against the ISBI’14 Overlapping Cervical Cytology Image Segmentation Challenge dataset. Experiments show that the proposed method is the state-of-the-art algorithm of the literature for recall (0.999) and F1 values (0.993). It produced a recall very close to the optimum value and also kept high precision (0.988).-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsrestrito-
Palavras-chave: dc.subjectImage processing algorithm-
Palavras-chave: dc.subjectDetection approach-
Palavras-chave: dc.subjectCervical cancer-
Palavras-chave: dc.subjectPap smear test-
Título: dc.titleAn ensemble method for nuclei detection of overlapping cervical cells.-
Aparece nas coleções:Repositório Institucional - UFOP

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