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Automated Techniques for the Interpretation of Fetal Abnormalities: A Review
Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. Ultrasound medical images can easily identify the fetus using segmentation techniques and calculate fetal parameters. It can timely find the feta...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015700/ https://www.ncbi.nlm.nih.gov/pubmed/29983738 http://dx.doi.org/10.1155/2018/6452050 |
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author | Rawat, Vidhi Jain, Alok Shrimali, Vibhakar |
author_facet | Rawat, Vidhi Jain, Alok Shrimali, Vibhakar |
author_sort | Rawat, Vidhi |
collection | PubMed |
description | Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. Ultrasound medical images can easily identify the fetus using segmentation techniques and calculate fetal parameters. It can timely find the fetal abnormality so that necessary action can be taken by the pregnant woman. Firstly, a detailed literature has been offered on fetal biometric parameters and nuchal translucency to highlight the investigation approaches with a degree of validation in diverse clinical domains. Then, a categorization of the bibliographic assessment of recent research effort in the segmentation field of ultrasound 2D fetal images has been presented. The fetal images of high-risk pregnant women have been taken into the routine and continuous monitoring of fetal parameters. These parameters are used for detection of fetal weight, fetal growth, gestational age, and any possible abnormality detection. |
format | Online Article Text |
id | pubmed-6015700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-60157002018-07-08 Automated Techniques for the Interpretation of Fetal Abnormalities: A Review Rawat, Vidhi Jain, Alok Shrimali, Vibhakar Appl Bionics Biomech Review Article Ultrasound (US) image segmentation methods, focusing on techniques developed for fetal biometric parameters and nuchal translucency, are briefly reviewed. Ultrasound medical images can easily identify the fetus using segmentation techniques and calculate fetal parameters. It can timely find the fetal abnormality so that necessary action can be taken by the pregnant woman. Firstly, a detailed literature has been offered on fetal biometric parameters and nuchal translucency to highlight the investigation approaches with a degree of validation in diverse clinical domains. Then, a categorization of the bibliographic assessment of recent research effort in the segmentation field of ultrasound 2D fetal images has been presented. The fetal images of high-risk pregnant women have been taken into the routine and continuous monitoring of fetal parameters. These parameters are used for detection of fetal weight, fetal growth, gestational age, and any possible abnormality detection. Hindawi 2018-06-10 /pmc/articles/PMC6015700/ /pubmed/29983738 http://dx.doi.org/10.1155/2018/6452050 Text en Copyright © 2018 Vidhi Rawat et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Rawat, Vidhi Jain, Alok Shrimali, Vibhakar Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title | Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title_full | Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title_fullStr | Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title_full_unstemmed | Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title_short | Automated Techniques for the Interpretation of Fetal Abnormalities: A Review |
title_sort | automated techniques for the interpretation of fetal abnormalities: a review |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015700/ https://www.ncbi.nlm.nih.gov/pubmed/29983738 http://dx.doi.org/10.1155/2018/6452050 |
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