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

Biology

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