Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …

Deep learning is considered the leading artificial intelligence tool in image analysis in
general. Deep‐learning algorithms excel at image recognition, which makes them valuable …

Fetal gestational age (GA) is vital clinical information that is estimated during pregnancy in
order to assess fetal growth. This is usually performed by measuring the crown-rump-length …

Objective Automated medical image analysis solutions should closely mimic complete
human actions to be useful in clinical practice. However, more often an automated image …

Purpose To introduce the cranial-dorsal-hip angle (∠ CDH) as a novel quantitative tool for
assessing fetal position in the first trimester and to validate its feasibility for future AI …

In recent years, deep learning algorithms have become the standard approach for analyzing
fetal images obtained through ultrasound technology. This chapter surveys the most up-to …

To assess fetal health during pregnancy, doctors use the gestational age (GA) calculation
based on the Crown Rump Length (CRL) measurement in order to check for fetal size and …

This paper presents a novel, low-compute and efficient generative adversarial network
(GAN) design for automatic segmentation called CNSeg-GAN, which combines 1-D kernel …

The process of creating fetal images from the uterus using sound influence is known as fetal
ultrasound imaging. During this scan, measurements such as the gestational sac, biparietal …

Medical imaging is important to healthcare because it can be used for early illness
diagnosis, staging, and management, as well as for choosing the most appropriate treatment …