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