AIMC Topic: Tomography, X-Ray Computed

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COMBINING HI-RESOLUTION SCAN MODE WITH DEEP LEARNING RECONSTRUCTION ALGORITHMS IN CARDIAC CT.

Radiation protection dosimetry Jan 4, 2023
To investigate the impact of combining the high-resolution (Hi-res) scan mode with deep learning image reconstruction (DLIR) algorithm in CT. Two phantoms (Catphan600® and Lungman, small, medium, large size) were CT scanned using combinations of Hi-r...
Algorithms Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Thorax Deep Learning Image Processing, Computer-Assisted
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What should we expect when colon wall thickening is detected on abdominal CT scan in the era of artificial intelligence?

Annali italiani di chirurgia Jan 1, 2023
AIM: Except for emergencies, endoscopic findings were investigated in patients with increased thickness of the colon wall on abdominal CT.
Colonoscopy Neoplasms Aged Retrospective Studies Emergencies Humans Aged, 80 and over Tomography, X-Ray Computed Colon Artificial Intelligence Young Adult Adult Middle Aged
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A densely connected LDCT image denoising network based on dual-edge extraction and multi-scale attention under compound loss.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: Low dose computed tomography (LDCT) uses lower radiation dose, but the reconstructed images contain higher noise that can have negative impact in disease diagnosis. Although deep learning with the edge extraction operators reserves edge i...
Neural Networks, Computer Thorax Algorithms Tomography, X-Ray Computed
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[Age assessment using CT of knee joint and neural network technologies].

Sudebno-meditsinskaia ekspertiza Jan 1, 2023
Age assessment of living persons plays an important role in clinical and sports medicine, as well as in law practice. Traditional methods have a number of problems: age restrictions, technical difficulties of visualization, low reproducibility and su...
Young Adult Male Knee Joint Adolescent Female Reproducibility of Results Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
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Deep Learning Models for Severity Prediction of Acute Pancreatitis in the Early Phase From Abdominal Nonenhanced Computed Tomography Images.

Pancreas Jan 1, 2023
OBJECTIVES: To develop and validate deep learning (DL) models for predicting the severity of acute pancreatitis (AP) by using abdominal nonenhanced computed tomography (CT) images.
Humans Acute Disease Pancreatitis Tomography Severity of Illness Index Retrospective Studies Deep Learning Tomography, X-Ray Computed Predictive Value of Tests
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Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture.

Journal of cancer research and therapeutics Jan 1, 2023
AIM: Current radiotherapy treatment techniques require a large amount of imaging data for treatment planning which demand significant clinician's time to segment target volume and organs at risk (OARs). In this study, we propose to use U-net-based ar...
Lung Neoplasms Heart Lung Deep Learning Humans Tomography, X-Ray Computed
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Dual-domain fusion deep convolutional neural network for low-dose CT denoising.

Journal of X-ray science and technology Jan 1, 2023
BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the present research is to achieve high-quality CT images at the same time as reducing x-ray radiation. In recent years, convolutional neural network (CNN) ...
Image Processing, Computer-Assisted Signal-To-Noise Ratio Neural Networks, Computer Algorithms Animals Swine Tomography, X-Ray Computed
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3D Visualisation of the Spine.

Advances in experimental medicine and biology Jan 1, 2023
The 3D visualisation of the spine is thought of from multiple viewpoints. Firstly, radiological imaging is considered, with plain radiography, CT and MRI imaging discussed in detail with relevant applications to spinal surgery.3D printing can be used...
Humans Forecasting Tomography, X-Ray Computed Spine Robotics Prostheses and Implants
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Machine learning technologies in CT-based diagnostics and classification of intracranial hemorrhages.

Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko Jan 1, 2023
This review discusses pooled experience of creation, implementation and effectiveness of machine learning technologies in CT-based diagnosis of intracranial hemorrhages. The authors analyzed 21 original articles between 2015 and 2022 using the follow...
Humans Artificial Intelligence Tomography, X-Ray Computed Machine Learning Intracranial Hemorrhages Algorithms
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Detecting and quantifying spatial misalignment between longitudinal kilovoltage computed tomography (kVCT) scans of the head and neck by using convolutional neural networks (CNNs).

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2023
BACKGROUND: Adaptive radiotherapy (ART) aims to address anatomical modifications appearing during the treatment of patients by modifying the planning treatment according to the daily positioning image. Clinical implementation of ART relies on the qua...
Head Image Processing, Computer-Assisted Radiotherapy Planning, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Deep Learning Algorithms
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