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 …

The application of face detection and recognition technology in security monitoring systems
has made a huge contribution to public security. Face detection is an essential first step in …

Several reviews have been conducted regarding artificial intelligence (AI) techniques to
improve pregnancy outcomes. But they are not focusing on ultrasound images. This survey …

Developmental dysplasia of the hip (DDH) is a common and serious disease in infants. Hip
landmark detection plays a critical role in diagnosing the development of neonatal hip in the …

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal
anatomical landmarks. Its primary objective is to provide comprehensive information about …

The existing object detection algorithms mainly detect large objects. There are few kinds of
researches on small objects. And the small object detection accuracy is low, which is difficult …

Abstract 3D ultrasound imaging of fetal faces has been predominantly confined to qualitative
assessment. Many genetic conditions evade diagnosis and identification could assist with …

The conventional heatmap regression with deep networks has become one of the
mainstream approaches for landmark detection. Despite their success, these methods do …

Medical landmark localization is crucial for treatment planning. Although FCN-based
heatmap regression methods have made significant progress, there is a lack of FCN-based …