RUnT: A network combining residual U-Net and transformer for vertebral edge feature fusion constrained spine CT image segmentation

H Xu, X Cui, C Li, Z Tian, J Liu, J Yang - IEEE Access, 2023 - ieeexplore.ieee.org
Scoliosis, spinal deformity and vertebral spondylolisthesis are spinal disorders with high
incidence, which seriously affect people's lives and health. CT is an important medical tool …

Multi-head consistent semi-supervised learning for lumbar CT segmentation

Y He, Q Du, H Wu, Y Du, J Xu, Y Xi, H Yang - Biomedical Signal Processing …, 2024 - Elsevier
Segmentation of lumbar spine from computed tomography (CT) images is a necessary
prerequisite for the intelligent diagnosis of many lumbar diseases. Currently, deep learning …

Multi-scale Hybrid Attention Convolutional Neural Network for Automatic Segmentation of Lumbar Vertebrae from MRI

J Liu, Y Zhou, X Cui, F Jin, G Suo, H Xu, J Yang - IEEE Access, 2024 - ieeexplore.ieee.org
Due to the high incidence of lumbar vertebral lesions causing spondylolisthesis and
intervertebral disc protrusion, lumbar spine (vertebrae and intervertebral discs) MRI image …

Lumbar and Thoracic Vertebrae Segmentation in CT Scans Using a 3D Multi-Object Localization and Segmentation CNN

X Xiong, SA Graves, BA Gross, JM Buatti, RR Beichel - Tomography, 2024 - mdpi.com
Radiation treatment of cancers like prostate or cervix cancer requires considering nearby
bone structures like vertebrae. In this work, we present and validate a novel automated …

SSCK-Net: Spine segmentation in MRI based on cross attention and key-points recognition-assisted learner

H Li, Z Wang, W Shen, H Li, H Li, P Yu - Biomedical Signal Processing and …, 2023 - Elsevier
Multiple spine segmentation of vertebrae and intervertebral discs for magnetic resonance
images (MRI) plays a significant role in various spinal diseases diagnosis and treatments of …