Background: Graf's method is currently the most commonly used ultrasound-based
technique for the diagnosis of developmental dysplasia of the hip (DDH). However, the …

Objectives This study proposed a Mask Region-Based Convolutional Neural Network (R-
CNN)-based automatic segmentation to accurately detect the measurable standard plane of …

Fully-automatic and reliable segmentation of bone surface in volumetric ultrasound images
could enable the use of this imaging technique for a variety of tasks, including diagnosis of …

Graf's ultrasonography (US) method is one of the most commonly used imaging techniques
for developmental dysplasia of the hip (DDH) and is universally accepted for the assessment …

Deep learning techniques for diagnosing Developmental Dysplasia of the Hip (DDH) in
newborns from ultrasound (US) images of the hip have demonstrated improved reliability …

ABSTRACT Developmental Dysplasia of Hip (DDH) which represents a wide range of
abnormalities from acetabular dysplasia to fixed dislocation, is mainly defined by a loss of …

Background: Surgeon may learn more about the acetabular morphology and make a more
accurate diagnosis of hip dysplasia by measuring the acetabular depth ratio. Understanding …

Abstract Developmental Dysplasia of the Hip (DDH)-a condition characterized by hip joint
instability, is one of the most common hip disorders in newborns. Clinical practice for …

For many segmentation tasks the current state-of-the-art methods use standard
encoder/decoder based architectures such as UNET [7]. One of the downsides of these …