The use of prenatal ultrasonography for fetal assessment and the detection of abnormalities is on the rise. This necessitates further anatomical studies of the fetus. Ultrasound is able to identify most major structural abnormalities in the developing fetus. Fifteen percent of infants are born with minor abnormalities. A greater incidence of even very modest birth defects is related with an elevated chance of major abnormalities. A lot of structural defects may be fixed if identified early, but manual diagnosis is tedious, time-consuming, and errorprone. So, using a program might speed up the diagnostic process and reduce the possibility of making a mistake.

Keywords : Artificial Intelligence, Convolutional Neural Network (CNN), Deep Learning, Fetal Brain Ultrasound, Image Classification, Medical Imaging, Neural Networks, Obstetrics, Pregnancy Monitoring, VGG19 Algorithm.