AIMC Topic: Rib Fractures

Clear Filters Showing 11 to 20 of 31 articles

Classification of rib fracture types from postmortem computed tomography images using deep learning.

Forensic science, medicine, and pathology Nov 16, 2023
Human or time resources can sometimes fall short in medical image diagnostics, and analyzing images in full detail can be a challenging task. With recent advances in artificial intelligence, an increasing number of systems have been developed to assi...
Tomography, X-Ray Computed Female Male Humans Rib Fractures Radiographic Image Interpretation, Computer-Assisted Autopsy Postmortem Imaging Deep Learning Cone-Beam Computed Tomography
View on PubMed DOI

An automatic fresh rib fracture detection and positioning system using deep learning.

The British journal of radiology Apr 17, 2023
OBJECTIVE: To evaluate the performance and robustness of a deep learning-based automatic fresh rib fracture detection and positioning system (FRF-DPS).
Humans Rib Fractures Retrospective Studies Ribs Sensitivity and Specificity Deep Learning
View on PubMed DOI

The value of deep learning-based computer aided diagnostic system in improving diagnostic performance of rib fractures in acute blunt trauma.

BMC medical imaging Apr 13, 2023
BACKGROUND: To evaluate the value of a deep learning-based computer-aided diagnostic system (DL-CAD) in improving the diagnostic performance of acute rib fractures in patients with chest trauma.
Humans Thoracic Injuries Retrospective Studies Wounds, Nonpenetrating Computers Rib Fractures Deep Learning Tomography, X-Ray Computed Sensitivity and Specificity
View on PubMed DOI

A Patch-Based Deep Learning Approach for Detecting Rib Fractures on Frontal Radiographs in Young Children.

Journal of digital imaging Mar 10, 2023
Chest radiography is the modality of choice for the identification of rib fractures in young children and there is value for the development of computer-aided rib fracture detection in this age group. However, the automated identification of rib frac...
Rib Fractures Retrospective Studies Humans ROC Curve Radiography Infant, Newborn Deep Learning Child, Preschool Child Infant
View on PubMed DOI

FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.

The journal of trauma and acute care surgery Mar 6, 2023
OBJECTIVE: Characterizing and enumerating rib fractures are critical to informing clinical decisions, yet in-depth characterization is rarely performed because of the manual burden of annotating these injuries on computed tomography (CT) scans. We hy...
Deep Learning Thorax Retrospective Studies Tomography, X-Ray Computed Neural Networks, Computer Humans Rib Fractures
View on PubMed DOI

Deep learning-based prediction of rib fracture presence in frontal radiographs of children under two years of age: a proof-of-concept study.

The British journal of radiology Mar 3, 2023
OBJECTIVE: In this proof-of-concept study, we aimed to develop deep-learning-based classifiers to identify rib fractures on frontal chest radiographs in children under 2 years of age.
ROC Curve Radiography Child, Preschool Child Humans Rib Fractures Infant Deep Learning Retrospective Studies
View on PubMed DOI

Assessment of automatic rib fracture detection on chest CT using a deep learning algorithm.

European radiology Oct 10, 2022
OBJECTIVES: To evaluate deep neural networks for automatic rib fracture detection on thoracic CT scans and to compare its performance with that of attending-level radiologists using a large amount of datasets from multiple medical institutions.
Tomography, X-Ray Computed Deep Learning Rib Fractures Retrospective Studies Humans Algorithms
View on PubMed DOI

DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures.

The journal of trauma and acute care surgery Sep 19, 2022
BACKGROUND: Deep neural networks yield high predictive performance, yet obscure interpretability limits clinical applicability. We aimed to build an explainable deep neural network that elucidates factors associated with readmissions after rib fractu...
Humans Rib Fractures Deep Learning Cohort Studies Patient Readmission Hospitalization Adult
View on PubMed DOI

Development and assessment of deep learning system for the location and classification of rib fractures via computed tomography.

European journal of radiology Jul 2, 2022
PURPOSE: The purpose of this study was to evaluate the performance of a deep learning system for the automatic diagnosis and classification of rib fractures.
Deep Learning Retrospective Studies Tomography, X-Ray Computed Neural Networks, Computer Humans Rib Fractures
View on PubMed DOI

Deep learning-based framework for segmentation of multiclass rib fractures in CT utilizing a multi-angle projection network.

International journal of computer assisted radiology and surgery Apr 6, 2022
PURPOSE: Clinical rib fracture diagnosis via computed tomography (CT) screening has attracted much attention in recent years. However, automated and accurate segmentation solutions remain a challenging task due to the large sets of 3D CT data to deal...
Rib Fractures Humans Deep Learning Tomography, X-Ray Computed Neural Networks, Computer Image Processing, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals