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Commentary Open Access
Volume 3 | Issue 1 | DOI: https://doi.org/10.33696/genetics.3.017

Down Syndrome: Insights and Analysis

  • 1Department of Computer Applications, National Institute of Technology, Tiruchirappalli, TN-15, India
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Corresponding Author

Selvakumar K, kselvakumar@nitt.edu

Received Date: August 08, 2024

Accepted Date: November 11, 2024

Abstract

Normally, there are 23 pairs of chromosomes found in human beings. But in some conditions, a mother has a fetus with an additional chromosome at T21(21st position) which is said to be the fetus with Trisomy-21 (Down Syndrome). There are many factors of Down Syndrome - nasal bone absence, short nasal bone, thick amniotic fluid (greater than 3 mm), fetal heart rate (FHR), Crown Lump Length, short arm, and thighs’ bones; are screened during 10-14th (First Trimester) and 15-22nd week (Second Trimester) of pregnancy. These screenings are very crucial tasks as invasive methods, hence ultrasound imaging technique comes into the picture as a non-invasive methods. With this article, we put a glance at various reasons of occurrence of Down Syndrome and comment on some analysis of societal impact of Down Syndrome. Further, we should focus on how a fetus can be diagnosed with Down Syndrome during the early age of her mother’s pregnancy using Computerized techniques such as machine learning and deep learning approaches?

Keywords

Trisomy-21, Down Syndrome, Ultrasonography image, Ultrasound image, Deep Learning

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