CT cervical spine fracture detection using a convolutional neural network
JE Small, P Osler, AB Paul… - American Journal of …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Multidetector CT has emerged as the standard of care
imaging technique to evaluate cervical spine trauma. Our aim was to evaluate the …
imaging technique to evaluate cervical spine trauma. Our aim was to evaluate the …
Diagnostic accuracy and failure mode analysis of a deep learning algorithm for the detection of cervical spine fractures
AF Voter, ME Larson, JW Garrett… - American Journal of …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Artificial intelligence decision support systems are a
rapidly growing class of tools to help manage ever-increasing imaging volumes. The aim of …
rapidly growing class of tools to help manage ever-increasing imaging volumes. The aim of …
Deep sequential learning for cervical spine fracture detection on computed tomography imaging
H Salehinejad, E Ho, HM Lin… - 2021 IEEE 18th …, 2021 - ieeexplore.ieee.org
Fractures of the cervical spine are a medical emergency and may lead to permanent
paralysis and even death. Accurate diagnosis in patients with suspected fractures by …
paralysis and even death. Accurate diagnosis in patients with suspected fractures by …
The RSNA cervical spine fracture CT dataset
HM Lin, E Colak, T Richards, FC Kitamura… - Radiology: Artificial …, 2023 - pubs.rsna.org
The RSNA Cervical Spine Fracture CT Dataset Page 1 Page 1 of 21 The RSNA Cervical Spine
Fracture CT Dataset Hui Ming Lin, HBSc Errol Colak, MD Tyler Richards, MD Felipe C. Kitamura …
Fracture CT Dataset Hui Ming Lin, HBSc Errol Colak, MD Tyler Richards, MD Felipe C. Kitamura …
Detection of vertebral fractures in CT using 3D convolutional neural networks
Osteoporosis induced fractures occur worldwide about every 3 s. Vertebral compression
fractures are early signs of the disease and considered risk predictors for secondary …
fractures are early signs of the disease and considered risk predictors for secondary …
Deep convolutional networks for automated detection of posterior-element fractures on spine CT
Injuries of the spine, and its posterior elements in particular, are a common occurrence in
trauma patients, with potentially devastating consequences. Computer-aided detection …
trauma patients, with potentially devastating consequences. Computer-aided detection …
[PDF][PDF] Diagnostic accuracy of deep learning for evaluation of C-spine injury from lateral neck radiographs
Background Traumatic spinal cord injury (TSI) is a leading cause of morbidity and mortality
worldwide, with the cervical spine being the most affected. Delayed diagnosis carries a risk …
worldwide, with the cervical spine being the most affected. Delayed diagnosis carries a risk …
Evidence-based imaging evaluation of the cervical spine in trauma
CC Blackmore - Neuroimaging Clinics, 2003 - neuroimaging.theclinics.com
Fractures of the cervical spine are uncommon injuries in trauma care; however, because of
the overwhelming medical, psychologic, and financial implications of missed fractures, the …
the overwhelming medical, psychologic, and financial implications of missed fractures, the …
Differential diagnosis of benign and malignant vertebral fracture on CT using deep learning
Y Li, Y Zhang, E Zhang, Y Chen, Q Wang, K Liu… - European …, 2021 - Springer
Objectives To evaluate the performance of deep learning using ResNet50 in differentiation
of benign and malignant vertebral fracture on CT. Methods A dataset of 433 patients …
of benign and malignant vertebral fracture on CT. Methods A dataset of 433 patients …
Fully automatic cervical vertebrae segmentation framework for X-ray images
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries.
Unfortunately, a large number of injuries in lateral cervical X-ray images remain …
Unfortunately, a large number of injuries in lateral cervical X-ray images remain …