Deep learning system assisted detection and localization of lumbar spondylolisthesis

J Zhang, H Lin, H Wang, M Xue, Y Fang… - … in Bioengineering and …, 2023 - frontiersin.org
Objective: Explore a new deep learning (DL) object detection algorithm for clinical auxiliary
diagnosis of lumbar spondylolisthesis and compare it with doctors' evaluation to verify the …

BUU-LSPINE: A thai open lumbar spine dataset for spondylolisthesis detection

P Klinwichit, W Yookwan, S Limchareon… - Applied Sciences, 2023 - mdpi.com
(1) Background: Spondylolisthesis, a common disease among older individuals, involves the
displacement of vertebrae. The condition may gradually manifest with age, allowing for …

Deep learning assisted diagnosis system: improving the diagnostic accuracy of distal radius fractures

J Zhang, Z Li, H Lin, M Xue, H Wang, Y Fang… - Frontiers in …, 2023 - frontiersin.org
Objectives To explore an intelligent detection technology based on deep learning algorithms
to assist the clinical diagnosis of distal radius fractures (DRFs), and further compare it with …

CORRELATION OF BODY MASS INDEX, AGE AND GENDER WITH THE DEGREE OF SPONDYLOLISTHESIS ON LUMBOSACRAL XRAY PHOTOS AT HAJI ADAM …

DU Lubis, EE Harahap… - … Medical Research, Nursing …, 2024 - medalionjournal.com
Introduction: Spondylolisthesis is a displacement of one vertebra relative to the vertebra
below it with an estimated prevalence of spondylolisthesis of 6 to 7% at age 19 years, and …

A machine learning based quantification system for automated diagnosis of lumbar spondylolisthesis on spinal X-rays

S Liu, C Guo, Y Zhao, C Zhang, L Yue, R Yao, Q Lan… - Heliyon, 2024 - cell.com
The automated diagnosis of lumbar spondylolisthesis lacks standardized criteria and the
diagnostic of lumbar spondylolisthesis itself inherently relies on the subjective judgment of …

Lumbar disease classification using an Involutional neural based VGG Nets (INVGG).

BM Abuhayi, YA Bezabh, AM Ayalew - IEEE Access, 2024 - ieeexplore.ieee.org
Degenerative diseases of the lumbar spine, such as spondylolisthesis, disc degeneration,
and lumbar spinal stenosis, are major contributors to global disability. Accurate classification …

Machine learning in spine surgery: a narrative review

S Adida, AD Legarreta, JS Hudson, D McCarthy… - …, 2022 - journals.lww.com
Artificial intelligence and machine learning (ML) can offer revolutionary advances in their
application to the field of spine surgery. Within the past 5 years, novel applications of ML …

[HTML][HTML] Detection of spondylosis deformans in thoracolumbar and lumbar lateral X-ray images of dogs using a deep learning network

J Park, H Cho, Y Ji, K Lee, H Yoon - Frontiers in Veterinary Science, 2024 - frontiersin.org
Spondylosis deformans is a noninflammatory osteophytic reaction that develops to re-
establish the stability of weakened joints between intervertebral discs. However, assessing …

Development of a Machine Learning Algorithm to Correlate Lumbar Disc Height on X-rays with Disc Bulging or Herniation

PC Lin, WS Chang, KY Hsiao, HM Liu, BC Shia… - Diagnostics, 2024 - mdpi.com
Lumbar disc bulging or herniation (LDBH) is one of the major causes of spinal stenosis and
related nerve compression, and its severity is the major determinant for spine surgery. MRI …

Development of a deep learning model for automatic detection of narrowed intervertebral disc space sites in caudal thoracic and lumbar lateral X-ray images of dogs

J Park, H Cho, Y Ji, K Lee, H Yoon - Frontiers in Veterinary Science, 2024 - frontiersin.org
Intervertebral disc disease is the most common spinal cord-related disease in dogs, caused
by disc material protrusion or extrusion that compresses the spinal cord, leading to clinical …