AIMC Journal:
European journal of radiology
Showing 201 to 210 of 296 articles
The concept of the invisible radiologist in the era of artificial intelligence.
European journal of radiology
Jan 4, 2022
The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their clinical training and function precipitated by the evolution of Interventional Radiology and Medical ...
Artificial intelligence X-ray measurement technology of anatomical parameters related to lumbosacral stability.
European journal of radiology
Nov 28, 2021
PURPOSE: To develop a deep learning-based model for measuring automatic lumbosacral anatomical parameters from lateral lumbar radiographs and compare its performance to that of attending-level radiologists.
Performance of a deep learning-based lung nodule detection system as an alternative reader in a Chinese lung cancer screening program.
European journal of radiology
Nov 24, 2021
OBJECTIVE: To evaluate the performance of a deep learning-based computer-aided detection (DL-CAD) system in a Chinese low-dose CT (LDCT) lung cancer screening program.
A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography.
European journal of radiology
Nov 24, 2021
PURPOSE: To assess the image quality (IQ) of low tube voltage coronary CT angiography (CCTA) images reconstructed with deep learning image reconstruction (DLIR).
Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis.
European journal of radiology
Nov 24, 2021
PURPOSE: To compare the diagnostic accuracy of convolutional neural networks (CNN) with radiologists as the reference standard in the diagnosis of intracranial hemorrhages (ICH) with non contrast computed tomography of the cerebrum (NCTC).
Assessment of gastric wall structure using ultra-high-resolution computed tomography.
European journal of radiology
Nov 24, 2021
PURPOSE: To evaluate the image quality of ultra-high-resolution CT (U-HRCT) in the comparison among four different reconstruction methods, focusing on the gastric wall structure, and to compare the conspicuity of a three-layered structure of the gast...
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020.
European journal of radiology
Nov 24, 2021
PURPOSE: To evaluate the general rules and future trajectories of deep learning (DL) networks in medical image analysis through bibliometric and hot spot analysis of original articles published between 2012 and 2020.
Detection and vascular territorial classification of stroke on diffusion-weighted MRI by deep learning.
European journal of radiology
Nov 22, 2021
PURPOSE: Rapid detection and vascular territorial classification of stroke enable the determination of the most appropriate treatment. In this study, we aimed to investigate the performance of convolutional neural network (CNN) models in the detectio...
Breast imaging: Beyond the detection.
European journal of radiology
Nov 19, 2021
Breast cancer is a heterogeneous disease nowadays, including different biological subtypes with a variety of possible treatments, which aim to achieve the best outcome in terms of response to therapy and overall survival. In recent years breast imagi...
Artificial intelligence for imaging-based COVID-19 detection: Systematic review comparing added value of AI versus human readers.
European journal of radiology
Nov 16, 2021
PURPOSE: A growing number of studies have examined whether Artificial Intelligence (AI) systems can support imaging-based diagnosis of COVID-19-caused pneumonia, including both gains in diagnostic performance and speed. However, what is currently mis...
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