Various Methods for Computing Risk Factors of Down Syndrome in Fetus

IF 9.7 2区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Archives of Computational Methods in Engineering Pub Date : 2024-06-24 DOI:10.1007/s11831-024-10158-8
Sushil Kumar, K. Selvakumar
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Abstract

There is a chromosomal defect that significantly affects an individual’s life is Down syndrome. Early identification of Down syndrome is crucial for an accurate assessment of the fetus. The process of assess the fetus includes measurement of the crown rump length, fetal heart rate, short arm or thighs bones length, nasal bone present or absent and the thickness of fluid behind neck. And the process are done during first and second trimester of pregnancy. Various invasive and noninvasive screenings are used for Down syndrome diagnosis. Research on diagnosing Down syndrome has been extensively documented. Additionally, this survey includes various techniques using deep learning for detecting the availability of Down Syndrome and does analysis of image processing methods and formulas for its diagnosis.

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计算胎儿唐氏综合征风险因素的各种方法
唐氏综合症是一种严重影响个体生命的染色体缺陷。早期发现唐氏综合症对于准确评估胎儿至关重要。评估胎儿的过程包括测量胎儿头臀长、胎儿心率、短臂或大腿骨长度、鼻骨有无以及颈后液体厚度。这些过程都是在怀孕的前三个月和后三个月进行的。唐氏综合症的诊断采用各种侵入性和非侵入性筛查。有关唐氏综合症诊断的研究已被广泛记录。此外,本调查还包括利用深度学习检测唐氏综合症可用性的各种技术,并对诊断唐氏综合症的图像处理方法和公式进行了分析。
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来源期刊
CiteScore
19.80
自引率
4.10%
发文量
153
审稿时长
>12 weeks
期刊介绍: Archives of Computational Methods in Engineering Aim and Scope: Archives of Computational Methods in Engineering serves as an active forum for disseminating research and advanced practices in computational engineering, particularly focusing on mechanics and related fields. The journal emphasizes extended state-of-the-art reviews in selected areas, a unique feature of its publication. Review Format: Reviews published in the journal offer: A survey of current literature Critical exposition of topics in their full complexity By organizing the information in this manner, readers can quickly grasp the focus, coverage, and unique features of the Archives of Computational Methods in Engineering.
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