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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...

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Detalles Bibliográficos
Autores principales: Rawat, Vidhi, Jain, Alok, Shrimali, Vibhakar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2018
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.
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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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