Ultrasound (US) is generally preferred because it is of low-cost, safe, and non-invasive. US
image segmentation is crucial in image analysis. Recently, deep learning-based methods …

Background Artificial intelligence is a revolutionary technology that promises to assist
clinicians in improving patient care. In radiology, deep learning (DL) is widely used in …

Scoliosis is a 3D spinal deformation where the spine takes a lateral curvature, forming an
angle in the coronal plane. Diagnosis of scoliosis requires periodic detection, and frequent …

Volume Projection Imaging from ultrasound data is a promising technique to visualize spine
features and diagnose Adolescent Idiopathic Scoliosis. In this paper, we present a novel …

Purpose Robot-assisted ultrasound (rUS) systems have already been used to provide non-
radiative three-dimensional (3D) reconstructions that form the basis for guiding spine …

An accurate identification and localization of vertebrae in X-ray images can assist doctors in
measuring Cobb angles for treating patients with adolescent idiopathic scoliosis. It is useful …

Medical image segmentation aims at recognizing the object of interest from surrounding
tissues and structures, which is essential for the reliable diagnosis and morphological …

Abstract Three-dimensional (3-D) reconstruction of the spine surface is of strong clinical
relevance for the diagnosis and prognosis of spine disorders and intra-operative image …

Medical Ultrasound (US), despite its wide use, is characterized by artefacts and operator
dependency. Those attributes hinder the gathering and utilization of US datasets for the …

Background: Adolescent idiopathic scoliosis (AIS), the most common spinal deformity,
possibly develops due to imbalanced spinal loading following asymmetric development …