A preliminary study to quantitatively evaluate the development of maturation degree for fetal lung based on transfer learning deep model from ultrasound images.
Ping ChenYunqi ChenYinhui DengYuanyuan WangPing HeXiaoli LvJinhua YuPublished in: International journal of computer assisted radiology and surgery (2020)
The hypothesis that the development of fetal lung maturation degree can be represented by the texture information from ultrasound images has been preliminarily validated. The fetal lung maturation degree can be considered as being represented by the deep model's output denoted by the estimated gestational age.