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Radiographic Image Interpretation, Computer-Assisted

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Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.

Journal of computer assisted tomography Jul 22, 2023
OBJECTIVE: To evaluate the image quality and lesion detectability of pancreatic phase thin-slice computed tomography (CT) images reconstructed with a deep learning-based reconstruction (DLR) algorithm compared with filtered-back projection (FBP) and ...
Pancreatic Neoplasms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Retrospective Studies Tomography, X-Ray Computed Deep Learning Humans Algorithms
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Deep learning-based automatic detection for pulmonary nodules on chest radiographs: The relationship with background lung condition, nodule characteristics, and location.

European journal of radiology Jul 22, 2023
PURPOSE: Computer-aided diagnosis (CAD), which assists in the interpretation of chest radiographs, is becoming common. However, few studies have evaluated the benefits and pitfalls of CAD in the real world. This study aimed to evaluate the independen...
Radiography, Thoracic Solitary Pulmonary Nodule Radiography Radiographic Image Interpretation, Computer-Assisted Humans Algorithms Sensitivity and Specificity Lung Neoplasms Multiple Pulmonary Nodules Lung Deep Learning
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In vivo depiction of cortical bone vascularization with ultra-high resolution-CT and deep learning algorithm reconstruction using osteoid osteoma as a model.

Diagnostic and interventional imaging Jul 21, 2023
PURPOSE: The purpose of this study was to evaluate the ability to depict in vivo bone vascularization using ultra-high-resolution (UHR) computed tomography (CT) with deep learning reconstruction (DLR) and hybrid iterative reconstruction algorithm, co...
Humans Algorithms Retrospective Studies Adult Male Deep Learning Adolescent Tomography, X-Ray Computed Female Young Adult Radiation Dosage Child Cortical Bone Bone Neoplasms Osteoma, Osteoid Radiographic Image Interpretation, Computer-Assisted
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Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.

European radiology Jul 11, 2023
OBJECTIVES: To evaluate the effect of super-resolution deep-learning-based reconstruction (SR-DLR) on the image quality of coronary CT angiography (CCTA).
Humans Radiation Dosage Algorithms Plaque, Atherosclerotic Retrospective Studies Coronary Angiography Computed Tomography Angiography Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted
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Deep-learning image reconstruction for 80-kVp pancreatic CT protocol: Comparison of image quality and pancreatic ductal adenocarcinoma visibility with hybrid-iterative reconstruction.

European journal of radiology Jul 4, 2023
PURPOSE: To evaluate the image quality and visibility of pancreatic ductal adenocarcinoma (PDAC) in 80-kVp pancreatic CT protocol and compare them between hybrid-iterative reconstruction (IR) and deep-learning image reconstruction (DLIR) algorithms.
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Carcinoma, Pancreatic Ductal Pancreas Radiation Dosage Deep Learning Image Processing, Computer-Assisted Pancreatic Neoplasms
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Deep Learning Reconstruction Plus Single-Energy Metal Artifact Reduction for Supra Hyoid Neck CT in Patients With Dental Metals.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Jun 30, 2023
We investigated the effect of deep learning reconstruction (DLR) plus single-energy metal artifact reduction (SEMAR) on neck CT in patients with dental metals, comparing it with DLR and with hybrid iterative reconstruction (Hybrid IR)-SEMAR. In thi...
Radiographic Image Interpretation, Computer-Assisted Artifacts Radiation Dosage Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Female Algorithms Aged Retrospective Studies Male Tomography, X-Ray Computed
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Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?

Abdominal radiology (New York) Jun 27, 2023
BACKGROUND: CT image reconstruction has evolved from filtered back projection to hybrid- and model-based iterative reconstruction. Deep learning-based image reconstruction is a relatively new technique that uses deep convolutional neural networks to ...
Retrospective Studies Tomography, X-Ray Computed Humans Algorithms Radiation Dosage Deep Learning Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted
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A systematic approach to deep learning-based nodule detection in chest radiographs.

Scientific reports Jun 21, 2023
Lung cancer is a serious disease responsible for millions of deaths every year. Early stages of lung cancer can be manifested in pulmonary lung nodules. To assist radiologists in reducing the number of overseen nodules and to increase the detection a...
Deep Learning Lung Neoplasms Multiple Pulmonary Nodules Humans Solitary Pulmonary Nodule Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Lung
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Effect of Deep Learning Reconstruction on Evaluating Cervical Spinal Canal Stenosis With Computed Tomography.

Journal of computer assisted tomography Jun 9, 2023
OBJECTIVE: Magnetic resonance imaging (MRI) is commonly used to evaluate cervical spinal canal stenosis; however, some patients are ineligible for MRI. We aimed to assess the effect of deep learning reconstruction (DLR) in evaluating cervical spinal ...
Male Spinal Canal Spinal Stenosis Humans Tomography, X-Ray Computed Middle Aged Algorithms Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Deep Learning Retrospective Studies Constriction, Pathologic Adult
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Automated permanent tooth detection and numbering on panoramic radiograph using a deep learning approach.

Oral surgery, oral medicine, oral pathology and oral radiology Jun 8, 2023
OBJECTIVE: This study aimed to assess the performance of the deep learning (DL) model for automated tooth numbering in panoramic radiographs.
Software Male Deep Learning Radiography, Panoramic Radiographic Image Interpretation, Computer-Assisted Humans Tooth Neural Networks, Computer Dentition, Permanent
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