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A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification

Cervical cancer is the one of the most common cancers in women worldwide, affecting around 570,000 new patients each year. Although there have been great improvements over the years, current screening procedures can still suffer from long and tedious workflows and ambiguities. The increasing interes...

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Detalles Bibliográficos
Autores principales: Conceição, Teresa, Braga, Cristiana, Rosado, Luís, Vasconcelos, Maria João M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834130/
https://www.ncbi.nlm.nih.gov/pubmed/31618951
http://dx.doi.org/10.3390/ijms20205114
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author Conceição, Teresa
Braga, Cristiana
Rosado, Luís
Vasconcelos, Maria João M.
author_facet Conceição, Teresa
Braga, Cristiana
Rosado, Luís
Vasconcelos, Maria João M.
author_sort Conceição, Teresa
collection PubMed
description Cervical cancer is the one of the most common cancers in women worldwide, affecting around 570,000 new patients each year. Although there have been great improvements over the years, current screening procedures can still suffer from long and tedious workflows and ambiguities. The increasing interest in the development of computer-aided solutions for cervical cancer screening is to aid with these common practical difficulties, which are especially frequent in the low-income countries where most deaths caused by cervical cancer occur. In this review, an overview of the disease and its current screening procedures is firstly introduced. Furthermore, an in-depth analysis of the most relevant computational methods available on the literature for cervical cells analysis is presented. Particularly, this work focuses on topics related to automated quality assessment, segmentation and classification, including an extensive literature review and respective critical discussion. Since the major goal of this timely review is to support the development of new automated tools that can facilitate cervical screening procedures, this work also provides some considerations regarding the next generation of computer-aided diagnosis systems and future research directions.
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spelling pubmed-68341302019-11-25 A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification Conceição, Teresa Braga, Cristiana Rosado, Luís Vasconcelos, Maria João M. Int J Mol Sci Review Cervical cancer is the one of the most common cancers in women worldwide, affecting around 570,000 new patients each year. Although there have been great improvements over the years, current screening procedures can still suffer from long and tedious workflows and ambiguities. The increasing interest in the development of computer-aided solutions for cervical cancer screening is to aid with these common practical difficulties, which are especially frequent in the low-income countries where most deaths caused by cervical cancer occur. In this review, an overview of the disease and its current screening procedures is firstly introduced. Furthermore, an in-depth analysis of the most relevant computational methods available on the literature for cervical cells analysis is presented. Particularly, this work focuses on topics related to automated quality assessment, segmentation and classification, including an extensive literature review and respective critical discussion. Since the major goal of this timely review is to support the development of new automated tools that can facilitate cervical screening procedures, this work also provides some considerations regarding the next generation of computer-aided diagnosis systems and future research directions. MDPI 2019-10-15 /pmc/articles/PMC6834130/ /pubmed/31618951 http://dx.doi.org/10.3390/ijms20205114 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Conceição, Teresa
Braga, Cristiana
Rosado, Luís
Vasconcelos, Maria João M.
A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title_full A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title_fullStr A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title_full_unstemmed A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title_short A Review of Computational Methods for Cervical Cells Segmentation and Abnormality Classification
title_sort review of computational methods for cervical cells segmentation and abnormality classification
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834130/
https://www.ncbi.nlm.nih.gov/pubmed/31618951
http://dx.doi.org/10.3390/ijms20205114
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