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 …

Boundary delineation of MRI images for lumbar spinal stenosis detection through semantic segmentation using deep neural networks

AS Al-Kafri, S Sudirman, A Hussain, D Al-Jumeily… - IEEE …, 2019 - ieeexplore.ieee.org
We propose a methodology to aid clinicians in performing lumbar spinal stenosis detection
through semantic segmentation and delineation of magnetic resonance imaging (MRI) …

Development of ground truth data for automatic lumbar spine MRI image segmentation

F Natalia, H Meidia, N Afriliana… - 2018 IEEE 20th …, 2018 - ieeexplore.ieee.org
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 …

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 …

Lung boundary detection and classification in chest X-rays images based on neural network

YA Hamad, K Simonov, MB Naeem - International Conference on Applied …, 2019 - Springer
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 …

Lumbar spine MRI annotation with intervertebral disc height and Pfirrmann grade predictions

F Natalia, S Sudirman, D Ruslim, A Al-Kafri - PLoS One, 2024 - journals.plos.org
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 …

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 …

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 …

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 …

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 …