Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks.
Journal:
International journal of computer assisted radiology and surgery
Published Date:
Jun 2, 2020
Abstract
PURPOSE: Fetal brain abnormalities are some of the most common congenital malformations that may associated with syndromic and chromosomal malformations, and could lead to neurodevelopmental delay and mental retardation. Early prenatal detection of brain abnormalities is essential for informing clinical management pathways and consulting for parents. The purpose of this research is to develop computer-aided diagnosis algorithms for five common fetal brain abnormalities, which may provide assistance to doctors for brain abnormalities detection in antenatal neurosonographic assessment.