Cargando…
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...
Autores principales: | , , , |
---|---|
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 |
_version_ | 1783466425753534464 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6834130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT conceicaoteresa areviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT bragacristiana areviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT rosadoluis areviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT vasconcelosmariajoaom areviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT conceicaoteresa reviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT bragacristiana reviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT rosadoluis reviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification AT vasconcelosmariajoaom reviewofcomputationalmethodsforcervicalcellssegmentationandabnormalityclassification |