A comprehensive systematic review of YOLO for medical object detection (2018 to 2023)

MG Ragab, SJ Abdulkader, A Muneer… - IEEE …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Artificial intelligence and computer aided diagnosis in chronic low back pain: A systematic review

F D'Antoni, F Russo, L Ambrosio, L Bacco… - International journal of …, 2022 - mdpi.com
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 …

An approach to the diagnosis of lumbar disc herniation using deep learning models

AA Prisilla, YL Guo, YK Jan, CY Lin, FY Lin… - … in Bioengineering and …, 2023 - frontiersin.org
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 …

[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 …

Are current machine learning applications comparable to radiologist classification of degenerate and herniated discs and Modic change? A systematic review and …

R Compte, I Granville Smith, A Isaac, N Danckert… - European Spine …, 2023 - Springer
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 …

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 …

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 …

A deep learning method for foot progression angle detection in plantar pressure images

P Ardhianto, RBR Subiakto, CY Lin, YK Jan, BY Liau… - Sensors, 2022 - mdpi.com
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 …

Lumbar spine disease detection: enhanced CNN model with improved classification accuracy

D Singh, J Singla, MKI Rahmani, S Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol

M Zerunian, F Pucciarelli, D Caruso, D De Santis… - Skeletal Radiology, 2024 - Springer
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 …