AIMC Topic: Tomography, X-Ray Computed

Clear Filters Showing 4851 to 4860 of 5128 articles

Temporal changes of quantitative CT findings from 102 patients with COVID-19 in Wuhan, China: A longitudinal study.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2021
BACKGROUND: Computed tomography (CT) imaging combined with artificial intelligence is important in the diagnosis and prognosis of lung diseases.
Comorbidity Severity of Illness Index China Prognosis Female Middle Aged Retrospective Studies SARS-CoV-2 Disease Progression Tomography, X-Ray Computed Humans Aged Lung Aged, 80 and over Artificial Intelligence Time Factors Adult COVID-19 Male
View on PubMed DOI

Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value.

Radiographics : a review publication of the Radiological Society of North America, Inc Jan 1, 2021
Abdominal CT is a frequently performed imaging examination for a wide variety of clinical indications. In addition to the immediate reason for scanning, each CT examination contains robust additional data on body composition that generally go unused ...
Humans Tomography, X-Ray Computed Cardiovascular Diseases Body Composition Radiography, Abdominal Artificial Intelligence Biomarkers Retrospective Studies
View on PubMed DOI

A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.

Journal of X-ray science and technology Jan 1, 2021
OBJECTIVES: To explore the feasibility of achieving diagnostic images in low-dose abdominal CT using a Deep Learning Image Reconstruction (DLIR) algorithm.
Feasibility Studies Tomography, X-Ray Computed Radiation Dosage Deep Learning Image Processing, Computer-Assisted Humans Radiographic Image Interpretation, Computer-Assisted Algorithms
View on PubMed DOI

A Simplified Framework for the Detection of Intracranial Hemorrhage in CT Brain Images Using Deep Learning.

Current medical imaging Jan 1, 2021
BACKGROUND: The need for accurate and timely detection of Intracranial hemorrhage (ICH) is of utmost importance to avoid untoward incidents that may even lead to death. Hence, this presented work leverages the ability of a pretrained deep convolution...
Deep Learning Intracranial Hemorrhages Neural Networks, Computer Brain Tomography, X-Ray Computed Humans
View on PubMed DOI

Detection of Lung Cancer on Computed Tomography Using Artificial Intelligence Applications Developed by Deep Learning Methods and the Contribution of Deep Learning to the Classification of Lung Carcinoma.

Current medical imaging Jan 1, 2021
BACKGROUND: Every year, lung cancer contributes to a high percentage deaths in the world. Early detection of lung cancer is important for its effective treatment, and non-invasive rapid methods are usually used for diagnosis.
Humans Carcinoma, Squamous Cell Lung Artificial Intelligence Tomography, X-Ray Computed Deep Learning Lung Neoplasms
View on PubMed DOI

Dual residual convolutional neural network (DRCNN) for low-dose CT imaging.

Journal of X-ray science and technology Jan 1, 2021
The excessive radiation doses in the application of computed tomography (CT) technology pose a threat to the health of patients. However, applying a low radiation dose in CT can result in severe artifacts and noise in the captured images, thus affect...
Artifacts Signal-To-Noise Ratio Neural Networks, Computer Tomography, X-Ray Computed Humans Image Processing, Computer-Assisted
View on PubMed DOI

COVID-19 diagnosis from chest X-ray images using transfer learning: Enhanced performance by debiasing dataloader.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Chest X-ray imaging has been proved as a powerful diagnostic method to detect and diagnose COVID-19 cases due to its easy accessibility, lower cost and rapid imaging time.
Pneumonia Humans Early Diagnosis Algorithms Reproducibility of Results Radiography, Thoracic Tomography, X-Ray Computed SARS-CoV-2 Deep Learning Neural Networks, Computer COVID-19
View on PubMed DOI

Using artificial intelligence to assist radiologists in distinguishing COVID-19 from other pulmonary infections.

Journal of X-ray science and technology Jan 1, 2021
BACKGROUND: Accurate and rapid diagnosis of coronavirus disease (COVID-19) is crucial for timely quarantine and treatment.
Sensitivity and Specificity Male Middle Aged Aged Young Adult Adult Diagnosis, Differential Radiologists Respiratory Tract Infections Lung Deep Learning Clinical Competence Humans Artificial Intelligence COVID-19 Female SARS-CoV-2 Algorithms Tomography, X-Ray Computed
View on PubMed DOI

CT Dosimetry: What Has Been Achieved and What Remains to Be Done.

Investigative radiology Jan 1, 2021
Radiation dose in computed tomography (CT) has become a hot topic due to an upward trend in the number of CT procedures worldwide and the relatively high doses associated with these procedures. The main aim of this review article is to provide an ove...
Humans Tomography Scanners, X-Ray Computed Monte Carlo Method Phantoms, Imaging Radiometry Artificial Intelligence Tomography, X-Ray Computed Radiation Dosage
View on PubMed DOI

Deep Learning of Computed Tomography Virtual Wedge Resection for Prediction of Histologic Usual Interstitial Pneumonitis.

Annals of the American Thoracic Society Jan 1, 2021
The computed tomography (CT) pattern of definite or probable usual interstitial pneumonia (UIP) can be diagnostic of idiopathic pulmonary fibrosis and may obviate the need for invasive surgical biopsy. Few machine-learning studies have investigated ...
Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Middle Aged Deep Learning Age Factors Humans Aged Tomography, X-Ray Computed Retrospective Studies Male Female
View on PubMed DOI
Popular Topics
Recent Journals