An Intelligent Analysis of Prenatal Syndrome Using USG Images

Prenatal syndromes encompass a wide range of congenital conditions that affect fetal development during pregnancy. This research paper aims to provide an overview of prenatal syndromes, including their causes, diagnosis, and management strategies. These syndromes often arise due to genetic mutations, chromosomal abnormalities, or other factors that impact fetal development. Prenatal syndromes can result in a wide range of physical, cognitive, and developmental challenges for the affected individual. Common examples of prenatal syndromes include Down syndrome (Trisomy 21), Edwards syndrome (Trisomy 18), Patau syndrome (Trisomy 13), and Turner syndrome (monosomy X), among others. These syndromes are typically associated with distinct clinical features and may require specialized medical care and interventions for that preprocessing and feature extraction was done by inception v3 algorithm. In this training and testing of images are done from that loss are minimized.