Spine parsing (ie, multi-class segmentation of vertebrae and intervertebral discs (IVDs)) for
volumetric magnetic resonance (MR) image plays a significant role in various spinal disease …

Accurate segmentation of spine Magnetic Resonance Imaging (MRI) is highly demanded in
morphological research, quantitative analysis, and diseases identification, such as spinal …

Background Segmenting spinal tissues from MR images is important for automatic image
analysis. Deep neural network‐based segmentation methods are efficient, yet have high …

Automated multi-class segmentation of vertebrae and intervertebral discs for volumetric
magnetic resonance image (MRI) can help the diagnosis and the treatment of many spinal …

Objective 3D reconstruction of lumbar intervertebral foramen (LIVF) has been beneficial in
evaluating surgical trajectory. Still, the current methods of reconstructing the 3D LIVF model …

In this paper, the classification of Intervertebral Disc after scanning of spinal vertebra. In this
classification process analysis and classification is carried out using a deep learning …

MRI is a non-ionising imaging modality that could be used as an alternative to Xray-based
imaging methods to accurately assess the 3D morphology of the vertebral anatomy of …

Adolescent Idiopathic Scoliosis (AIS) is a complex 3D deformity of the spine that requires
surgical treatment for the most severe cases. Magnetic resonance imaging (MRI) of the …

The preoperative qualitative and hierarchical diagnosis of intervertebral foramen stenosis is
very important for clinicians to explore the effect of multimodal analgesia nursing on pain …

Finite element (FE) biomechanical studies for adolescent idiopathic scoliosis (AIS)
treatments will greatly benefit from utilizing true-scale, patient-specific anatomy that …