Ultrasonic evaluation of fetal lung development using deep learning with graph.

•Ultrasonography has been explored to quantitatively examine the fetal lung as a non-invasive means.•We proposed a deep learning model for automated fetal lung segmentation and measurement.•Our model was constructed combined U-Net with Graph model and pre-trained Vgg-16 network.•The correlation between the size of fetal lung/heart as delineated by the model with gestational age was analyzed.•Our research will alleviate the labor of the clinicians in routine measurement of the fetal lung/cardiac.