Fetal Liver

Fetal liver research focuses on understanding its development, function, and role in fetal growth restriction, employing advanced imaging techniques like MRI and CT scans for analysis. Current research utilizes deep learning models, including U-Net variations and transformer networks, to automate tasks such as liver segmentation and volumetry, improving diagnostic accuracy and efficiency. These advancements are crucial for improving prenatal diagnosis and management of fetal conditions, particularly those affecting liver development and function, ultimately impacting both clinical practice and our understanding of fetal physiology.