AIMC Topic: Rib Fractures

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Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

Acta radiologica (Stockholm, Sweden : 1987) Mar 18, 2022
BACKGROUND: A high false-positive rate remains a technical glitch hindering the broad spectrum of application of deep-learning-based diagnostic tools in routine radiological practice from assisting in diagnosing rib fractures.
Deep Learning Thorax Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Humans Rib Fractures
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Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society May 15, 2021
Rib fractures are injuries commonly assessed in trauma wards. Deep learning has demonstrated state-of-the-art accuracy for a variety of tasks, including image classification. This paper assesses the speed-accuracy trade-offs and general suitability o...
Rib Fractures Tomography, X-Ray Computed Deep Learning Humans Neural Networks, Computer Research Design
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Improving rib fracture detection accuracy and reading efficiency with deep learning-based detection software: a clinical evaluation.

The British journal of radiology Dec 17, 2020
OBJECTIVES: To investigate the impact of deep learning (DL) on radiologists' detection accuracy and reading efficiency of rib fractures on CT.
Humans Rib Fractures Retrospective Studies Adult Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Radiographic Image Interpretation, Computer-Assisted Observer Variation Reproducibility of Results Aged Aged, 80 and over Young Adult Tomography, X-Ray Computed Ribs Female
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Deep-learning-assisted detection and segmentation of rib fractures from CT scans: Development and validation of FracNet.

EBioMedicine Nov 10, 2020
BACKGROUND: Diagnosis of rib fractures plays an important role in identifying trauma severity. However, quickly and precisely identifying the rib fractures in a large number of CT images with increasing number of patients is a tough task, which is al...
Reproducibility of Results Deep Learning ROC Curve Image Processing, Computer-Assisted Software Algorithms Rib Fractures Tomography, X-Ray Computed Humans Neural Networks, Computer
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A Novel Ensemble Approach for Rib Fracture Detection and Visualization using CNNs and Grad-CAM.

Annali italiani di chirurgia Jan 1, 2025
AIM: This study aimed to develop a reliable and efficient system for predicting and locating rib fractures in medical images using an ensemble of convolutional neural networks (CNNs).
Neural Networks, Computer Rib Fractures Tomography, X-Ray Computed Male Humans
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Deep learning for acute rib fracture detection in CT data: a systematic review and meta-analysis.

The British journal of radiology Feb 28, 2024
OBJECTIVES: To review studies on deep learning (DL) models for classification, detection, and segmentation of rib fractures in CT data, to determine their risk of bias (ROB), and to analyse the performance of acute rib fracture detection models.
Humans Rib Fractures Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning
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Are rib fractures stable? An analysis of progressive rib fracture offset in the acute trauma setting.

The journal of trauma and acute care surgery Dec 1, 2021
BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decision making for trauma patients. Although recent studies have suggested that rib fractures are dynamic, the degree of progressive offset remains unknown....
Rib Fractures Thoracic Injuries Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer Outcome Assessment, Health Care Quality Improvement Injury Severity Score Trauma Centers Flail Chest Middle Aged Disease Progression Patient Care Lung Diseases Clinical Decision-Making Female Male
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Rib fracture detection in computed tomography images using deep convolutional neural networks.

Medicine May 21, 2021
To evaluate the rib fracture detection performance in computed tomography (CT) images using a software based on a deep convolutional neural network (DCNN) and compare it with the rib fracture diagnostic performance of doctors.We included CT images fr...
Middle Aged Deep Learning ROC Curve Predictive Value of Tests Young Adult Adult Male Radiographic Image Interpretation, Computer-Assisted Software Rib Fractures Retrospective Studies Tomography, X-Ray Computed Female Aged Aged, 80 and over Humans
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Assessment of a Deep Learning Algorithm for the Detection of Rib Fractures on Whole-Body Trauma Computed Tomography.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To assess the diagnostic performance of a deep learning-based algorithm for automated detection of acute and chronic rib fractures on whole-body trauma CT.
Male Middle Aged Deep Learning Image Interpretation, Computer-Assisted Wounds and Injuries Whole Body Imaging Tomography, X-Ray Computed Female Aged Adult Humans Rib Fractures Retrospective Studies
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Automatic Detection and Classification of Rib Fractures on Thoracic CT Using Convolutional Neural Network: Accuracy and Feasibility.

Korean journal of radiology Jul 1, 2020
OBJECTIVE: To evaluate the performance of a convolutional neural network (CNN) model that can automatically detect and classify rib fractures, and output structured reports from computed tomography (CT) images.
Thorax Female Aged Aged, 80 and over Young Adult Neural Networks, Computer Rib Fractures Tomography, X-Ray Computed ROC Curve Image Processing, Computer-Assisted Area Under Curve Feasibility Studies Adult Male Middle Aged Humans
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