Automated Techniques for the Interpretation of Fetal Abnormalities: A Review
Joint Authors
Rawat, Vidhi
Jain, Alok
Shrimali, Vibhakar
Source
Applied Bionics and Biomechanics
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Rawat, Vidhi& Jain, Alok& Shrimali, Vibhakar. 2018. Automated Techniques for the Interpretation of Fetal Abnormalities: A Review. Applied Bionics and Biomechanics،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1114720
Modern Language Association (MLA)
Rawat, Vidhi…[et al.]. Automated Techniques for the Interpretation of Fetal Abnormalities: A Review. Applied Bionics and Biomechanics No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1114720
American Medical Association (AMA)
Rawat, Vidhi& Jain, Alok& Shrimali, Vibhakar. Automated Techniques for the Interpretation of Fetal Abnormalities: A Review. Applied Bionics and Biomechanics. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1114720
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1114720