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A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …
found applications in various medical object detection tasks. This has been accompanied by …
[HTML][HTML] Artificial intelligence and computer aided diagnosis in chronic low back pain: A systematic review
Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …
An approach to the diagnosis of lumbar disc herniation using deep learning models
Background: In magnetic resonance imaging (MRI), lumbar disc herniation (LDH) detection
is challenging due to the various shapes, sizes, angles, and regions associated with bulges …
is challenging due to the various shapes, sizes, angles, and regions associated with bulges …
[HTML][HTML] Lumbar disc herniation: Epidemiology, clinical and radiologic diagnosis WFNS spine committee recommendations
M Pojskic, E Bisson, J Oertel, T Takami… - World Neurosurgery …, 2024 - Elsevier
Objective To formulate the most current, evidence-based recommendations regarding the
epidemiology, clinical diagnosis, and radiographic diagnosis of lumbar herniated disk …
epidemiology, clinical diagnosis, and radiographic diagnosis of lumbar herniated disk …
Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and …
Introduction Low back pain is the leading contributor to disability burden globally. It is
commonly due to degeneration of the lumbar intervertebral discs (LDD). Magnetic …
commonly due to degeneration of the lumbar intervertebral discs (LDD). Magnetic …
Emerging trends and research foci of deep learning in spine: bibliometric and visualization study
K Chen, X Zhai, S Wang, X Li, Z Lu, D **a, M Li - Neurosurgical Review, 2023 - Springer
As the cognition of spine develops, deep learning (DL) emerges as a powerful tool with
tremendous potential for advancing research in this field. To provide a comprehensive …
tremendous potential for advancing research in this field. To provide a comprehensive …
Automatic grading of disc herniation, central canal stenosis and nerve roots compression in lumbar magnetic resonance image diagnosis
ZH Su, J Liu, MS Yang, ZY Chen, K You… - Frontiers in …, 2022 - frontiersin.org
Aim Accurate severity grading of lumbar spine disease by magnetic resonance images
(MRIs) plays an important role in selecting appropriate treatment for the disease. However …
(MRIs) plays an important role in selecting appropriate treatment for the disease. However …
A deep learning method for foot progression angle detection in plantar pressure images
Foot progression angle (FPA) analysis is one of the core methods to detect gait pathologies
as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep …
as basic information to prevent foot injury from excessive in-toeing and out-toeing. Deep …
Lumbar spine disease detection: enhanced CNN model with improved classification accuracy
Back pain is an issue affecting millions of people throughout the world. Research on back
pain root cause detection is immense. The lumbar spine is a lower back region of the …
pain root cause detection is immense. The lumbar spine is a lower back region of the …
Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol
Objective The objective of this study is to prospectively compare quantitative and subjective
image quality, scanning time, and diagnostic confidence between a new deep learning …
image quality, scanning time, and diagnostic confidence between a new deep learning …