AIMC Topic: Radiographic Image Interpretation, Computer-Assisted

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Comparison of two deep-learning image reconstruction algorithms on cardiac CT images: A phantom study.

Diagnostic and interventional imaging Nov 8, 2023
PURPOSE: The purpose of this study was to compare the performance of Precise IQ Engine (PIQE) and Advanced intelligent Clear-IQ Engine (AiCE) algorithms on image-quality according to the dose level in a cardiac computed tomography (CT) protocol.
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Humans Algorithms
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A comprehensive segmentation of chest X-ray improves deep learning-based WHO radiologically confirmed pneumonia diagnosis in children.

European radiology Nov 6, 2023
OBJECTIVES: To investigate a comprehensive segmentation of chest X-ray (CXR) in promoting deep learning-based World Health Organization's (WHO) radiologically confirmed pneumonia diagnosis in children.
Male Infant Lung Deep Learning Humans Female Cross-Sectional Studies Radiographic Image Interpretation, Computer-Assisted Child, Preschool World Health Organization Radiography, Thoracic Child Pneumonia
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Utilizing Deep Learning and Computed Tomography to Determine Pulmonary Nodule Activity in Patients With Nontuberculous Mycobacterial-Lung Disease.

Journal of thoracic imaging Nov 2, 2023
PURPOSE: To develop and evaluate a deep convolutional neural network (DCNN) model for the classification of acute and chronic lung nodules from nontuberculous mycobacterial-lung disease (NTM-LD) on computed tomography (CT).
Retrospective Studies Tomography, X-Ray Computed Humans Neural Networks, Computer Deep Learning Radiographic Image Interpretation, Computer-Assisted Lung Neoplasms Pneumonia
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Artificial Intelligence-Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists Oct 30, 2023
PURPOSE: Artificial intelligence (AI) using an automated, deep learning-based method, Augmented Radiology for Vascular Aneurysm (ARVA), has been verified as a viable aide in aneurysm morphology assessment. The aim of this study was to evaluate the ac...
Predictive Value of Tests Aortic Aneurysm, Abdominal Radiographic Image Interpretation, Computer-Assisted Middle Aged Deep Learning Treatment Outcome Computed Tomography Angiography Aortic Aneurysm Aortography Endovascular Aneurysm Repair Stents Blood Vessel Prosthesis Implantation Endovascular Procedures Humans Retrospective Studies Female Aged, 80 and over Male Reproducibility of Results Aged
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Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience.

BMC medical imaging Oct 30, 2023
A super-resolution deep learning reconstruction (SR-DLR) algorithm trained using data acquired on the ultrahigh spatial resolution computed tomography (UHRCT) has the potential to provide better image quality of coronary arteries on the whole-heart, ...
Humans Algorithms Tomography, X-Ray Computed Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Heart Atria Stents Aged Male Coronary Vessels Deep Learning Radiation Dosage Computed Tomography Angiography
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Improving the depiction of small intracranial vessels in head computed tomography angiography: a comparative analysis of deep learning reconstruction and hybrid iterative reconstruction.

Radiological physics and technology Oct 28, 2023
This study aimed to evaluate the ability of deep learning reconstruction (DLR) compared to that of hybrid iterative reconstruction (IR) to depict small vessels on computed tomography (CT). DLR and two types of hybrid IRs were used for image reconstru...
Tomography, X-Ray Computed Deep Learning Radiographic Image Interpretation, Computer-Assisted Algorithms Computed Tomography Angiography Retrospective Studies Neuroimaging Radiation Dosage
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[Physical Properties of Small Focal Spot Imaging with Deep Learning Reconstruction in Chest-abdominal Plain CT].

Nihon Hoshasen Gijutsu Gakkai zasshi Oct 25, 2023
PURPOSE: The aim of this study was to compare the physical properties of small focal spot imaging with deep learning reconstruction (DLR) and small or large focal spot imaging with hybrid iterative reconstruction (IR) in chest-abdominal plain compute...
Abdomen Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Algorithms Tomography, X-Ray Computed Deep Learning
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Automatic detection and classification of nasopalatine duct cyst and periapical cyst on panoramic radiographs using deep convolutional neural networks.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The aim of this study was to evaluate a deep convolutional neural network (DCNN) method for the detection and classification of nasopalatine duct cysts (NPDC) and periapical cysts (PAC) on panoramic radiographs.
Radiographic Image Interpretation, Computer-Assisted Humans Radicular Cyst Neural Networks, Computer Radiography, Panoramic
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Evaluation of deep learning for detecting intraosseous jaw lesions in cone beam computed tomography volumes.

Oral surgery, oral medicine, oral pathology and oral radiology Oct 16, 2023
OBJECTIVE: The study aim was to develop and assess the performance of a deep learning (DL) algorithm in the detection of radiolucent intraosseous jaw lesions in cone beam computed tomography (CBCT) volumes.
Software Algorithms Sensitivity and Specificity Radiographic Image Interpretation, Computer-Assisted Deep Learning Humans Jaw Neoplasms Cone-Beam Computed Tomography Jaw Diseases Predictive Value of Tests
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Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Scientific reports Oct 16, 2023
To evaluate the diagnostic performance of our deep learning (DL) model of COVID-19 and investigate whether the diagnostic performance of radiologists was improved by referring to our model. Our datasets contained chest X-rays (CXRs) for the following...
Radiologists Radiographic Image Interpretation, Computer-Assisted COVID-19 Testing X-Rays Tomography, X-Ray Computed Deep Learning Pneumonia COVID-19 Computers Retrospective Studies Humans
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