Performance of artificial intelligence in diagnosing lumbar spinal stenosis: a systematic review and meta-analysis
X Yang, Y Zhang, Y Li, Z Wu - Spine, 2024 - journals.lww.com
Study Design. The present study followed the reporting guidelines for systematic reviews
and meta-analyses. Objective. Therefore, we conducted this study to review the diagnostic …
and meta-analyses. Objective. Therefore, we conducted this study to review the diagnostic …
Boundary delineation of MRI images for lumbar spinal stenosis detection through semantic segmentation using deep neural networks
We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection
through semantic segmentation and delineation of magnetic resonance imaging (MRI) …
through semantic segmentation and delineation of magnetic resonance imaging (MRI) …
Development of ground truth data for automatic lumbar spine MRI image segmentation
Artificial Intelligence through supervised machine learning remains an attractive and popular
research area in medical image processing. The objective of such research is often tied to …
research area in medical image processing. The objective of such research is often tied to …
Spine magnetic resonance image segmentation using deep learning techniques
J Andrew, M DivyaVarshini, P Barjo… - 2020 6th International …, 2020 - ieeexplore.ieee.org
Spinal Malalignment is a chronic disease that is widespread across the world. It causes
different diseases such as Stenosis, Scoliosis, Osteoporotic Fractures, Thoracolumbar …
different diseases such as Stenosis, Scoliosis, Osteoporotic Fractures, Thoracolumbar …
Lung boundary detection and classification in chest X-rays images based on neural network
The isolation of different structures is often performed on chest radiography (CXR) and the
classification of abnormalities is an initial step in detection systems as computer-aided …
classification of abnormalities is an initial step in detection systems as computer-aided …
Lumbar spine MRI annotation with intervertebral disc height and Pfirrmann grade predictions
Many lumbar spine diseases are caused by defects or degeneration of lumbar intervertebral
discs (IVD) and are usually diagnosed through inspection of the patient's lumbar spine MRI …
discs (IVD) and are usually diagnosed through inspection of the patient's lumbar spine MRI …
Segmentation for Lumbar Spinal Stenosis Using Convolutional Neural Networks
A Shukla, S Bhardwaj, M Singh - Procedia Computer Science, 2023 - Elsevier
Lumbar spinal stenosis (LSS) is a dwindling situation where transformation in discs,
ligamentum flavum, and facet joints with aging causes contraction of area around …
ligamentum flavum, and facet joints with aging causes contraction of area around …
Deep convolutional neural networks using U-net for automatic intervertebral disc segmentation in axial MRI
M Apaydin, M Yumus, A Degirmenci… - 2022 Innovations in …, 2022 - ieeexplore.ieee.org
Lumbar disc herniation, which occurs as a result of the rupture of the protective outer part of
the disc between the vertebrae in the lumbar region and displacement of the disc due to …
the disc between the vertebrae in the lumbar region and displacement of the disc due to …
Predicting spatio-temporal radiofrequency ablation temperature using deep neural networks
HT Kumru, V Gordin, D Cortes - Medical Engineering & Physics, 2024 - Elsevier
Radiofrequency ablation (RFA) of the medial branch nerve is a widely used therapeutic
intervention for facet joint pain. However, denervation of the multifidus muscle is an …
intervention for facet joint pain. However, denervation of the multifidus muscle is an …
Diagnosis of Central Canal Spinal Stenosis from Lumbar Mid-sagittal MR Images
A Beulah, TS Sharmila… - … Conference on Advances …, 2024 - ieeexplore.ieee.org
Central canal spinal stenosis is a significant ailment that impacts the spinal cord of humans.
The current automated diagnostic methods for spinal stenosis are unable to diagnose minor …
The current automated diagnostic methods for spinal stenosis are unable to diagnose minor …